CN103033808A - Method and device of railway roadblock detection and alarm based on radar return characteristics - Google Patents

Method and device of railway roadblock detection and alarm based on radar return characteristics Download PDF

Info

Publication number
CN103033808A
CN103033808A CN2012105668918A CN201210566891A CN103033808A CN 103033808 A CN103033808 A CN 103033808A CN 2012105668918 A CN2012105668918 A CN 2012105668918A CN 201210566891 A CN201210566891 A CN 201210566891A CN 103033808 A CN103033808 A CN 103033808A
Authority
CN
China
Prior art keywords
signal
radar
train
echo
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2012105668918A
Other languages
Chinese (zh)
Inventor
张江华
杜勇
万红进
习远望
王建超
杨海栗
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Electronic Engineering Research Institute
Original Assignee
Xian Electronic Engineering Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Electronic Engineering Research Institute filed Critical Xian Electronic Engineering Research Institute
Priority to CN2012105668918A priority Critical patent/CN103033808A/en
Publication of CN103033808A publication Critical patent/CN103033808A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Radar Systems Or Details Thereof (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

The invention relates to a method and a device of railway roadblock detection and alarm based on radar return characteristics. When a train drives at a high speed, a radar detector abstracts the radar return characteristics of the front road surface in real time. According to information of the train position supplied by a global position system (GPS) inertial navigation system, a data processing and display and control and warning platform reads previous echo characteristic statistical data of the train at safe driving from a memorizer, and compares the train position information with the previous echo characteristic statistical data. If the echo characteristics have abnormal fluctuation, a system can send out a warning signal, and sufficient processing time is supplied to a driver on the premise of guarantee of a safe brake distance. A millimeter-wave radar related in the railway roadblock detection and alarm device is long in detection distance, and high in resolution ratio, can obtain information of the front road surface through real-time processing of the signals, can not be affected by weather and climate, is simple an practical in system, and can meet requirements for roadblock detection.

Description

The detection of railway roadblock and alarm method and device based on Echo Characteristics
Technical field
The invention belongs to the intelligent traffic administration system technical field, be specifically related to a kind of railway roadblock detection based on Echo Characteristics and alarm method and device, mainly formed by millimetre-wave radar detector, GPS and inertial navigation unit, data processing and aobvious control early warning platform.
Background technology
Along with the increasing of China railways net pace of construction and the year by year raising of train speed, the especially quickening of high ferro construction, train traffic safety more and more comes into one's own.Easily send out the location in accident traditionally the staff is set, the mode of utilizing artificial investigation hidden danger be along with the increase of railway total kilometrage can not satisfy the demands, moreover also exists some to monitor and be not suitable for human work's location.
Existing railway Obstacle detection technology mainly contains two classes: a class is at key road segment monitoring equipment to be installed, and another kind of is at motion platform (being train) optical sensor to be installed.
At key road segment monitoring equipment is installed, this class technology can effectively be monitored the road conditions in special location, but for the emergency situations of the non-special road section of sensor installation (such as landslide, rubble flow etc.) not, this class technology may lose efficacy.Therefore in the urgent need to vehicle-mounted obstacle detecting system, when driving, road surface, the place ahead is uninterruptedly surveyed, in time fed back information of road surface.
At motion platform optical sensor is installed, is used the correlation theory of image detection to carry out detection of obstacles.This class technology can realize the fast detecting of dynamic and static barrier, but optical sensor is subjected to weather effect larger, can't satisfy the demand that the high ferro roadblock is surveyed all weather operations.At platform radar detedtor is installed, general technology path is that road pavement is carried out imaging, or barrier is carried out target identification.Imaging mode is owing to exist at velocity reversal and serious be coupling in technical being difficult to apart from the orientation and realize.Target recognition method algorithm is complicated, and operand is large, is difficult to real-time implementation, and discrimination is also lower, technical in addition breakthrough of standby.Except this, the required hardware platform of imaging mode and target recognition method is comparatively complicated, and the increase that this will cause the system research and development manufacturing cost is unfavorable for popularizing of system.
Radar obstacle detecting system traditionally tends to consider to utilize the high-resolution characteristic of radar, and road pavement is carried out imaging, and barrier is identified.Because imaging region is positioned at the train dead ahead, there is serious range-azimuth coupling in the SAR imaging mode and can't imaging.In addition, adopt the mode of radar imagery, the real-time of system can not be guaranteed, and manufacturing cost also can increase because of the increase of system complexity.
Summary of the invention
The technical matters that solves
For fear of the deficiencies in the prior art part, the present invention proposes a kind of railway roadblock detection based on Echo Characteristics and alarm method and device, by real-time millimetre-wave radar echo character and historical statistics echo character are compared, realize round-the-clock detection and alarm to the railway roadblock.
Technical scheme
A kind of railway roadblock based on Echo Characteristics is surveyed and alarm method, it is characterized in that step is as follows:
Step 1: radar is installed in the train front portion, and it is consistent with the train direct of travel to adjust controlling antenna wave beam to point;
Step 2: in the train traveling process, radar is to train working direction emission millimere-wave band linear FM signal, and radar antenna carries out the rf echo signal that receives to obtain intermediate-freuqncy signal after the down-converted;
Step 3: intermediate-freuqncy signal is obtained vision signal after the down coversion again, vision signal is carried out the IQ quadrature sampling after, obtain and passage I/Q, poor passage I/Q four road signals;
Step 4: adopt pulse compression technique and moving-target to detect the MTD technology, simultaneously four road signals are processed;
Step 5: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, and the distance that obtains thus between impact point and radar is C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step 6: utilize the monopulse angle measurement technique, according to the sampling point position m that obtains in 5, and in the step 3 with passage I/Q, poor passage I/Q four circuit-switched data, the target of relevant position is carried out angle measurement,, obtain the one group angle error sequence corresponding with target amplitude sequence, distance sequence in the step 5;
Step 7: with the target signature information that obtains in step 5 and the step 6: target amplitude, distance, angle error, and the current train position data that report of GPS inertial navigation system, calculate the distance R of the relative train of target inception point 0=R+R G, R is the distance that radar records, R GFor the headstock current location calculated according to gps data and the distance of inception point, with R in above-mentioned target signature information and the Ground Penetrating Radar echo character database 0The echo statistical nature data of position are compared:
The number of times that target amplitude in real-time target amplitude in detection time and the Ground Penetrating Radar echo character database is exceeded 10dB reach always report number of times half and when over half, provide reminding driver and process the early warning signal of dangerous situation and show; Be 0.5~0.6 second described detection time.
The establishment step of described Ground Penetrating Radar echo character database:
Step a: radar is installed in the train front portion, and it is consistent with the train direct of travel to adjust controlling antenna wave beam to point;
Step b: in the train traveling process, radar is to train working direction emission millimere-wave band linear FM signal, and radar antenna carries out the rf echo signal that receives to obtain intermediate-freuqncy signal after the down-converted;
Step c: intermediate-freuqncy signal is obtained vision signal after the down coversion again, vision signal is carried out the IQ quadrature sampling after, obtain and passage I/Q, poor passage I/Q four road signals;
Steps d: adopt pulse compression technique and moving-target to detect the MTD technology, simultaneously four road signals are processed;
Step e: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, obtain the distance between impact point and radar:
Figure BDA00002639363000031
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step f: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, and the distance that obtains thus between impact point and radar is
Figure BDA00002639363000032
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step g: all data are stored from the near to the remote by absolute distance, obtain the absolute distance of single sport car, the property data base data message of target amplitude and angle error;
Step h: repeat step 1 ~ step 6 4-5 time, obtain the characteristic library information of each time; The information of a plurality of property data bases is asked assembly average by absolute distance, obtain the template characteristic database; Target amplitude in the described database and the statistical nature of angle error are arranged by absolute distance.
A kind of described railway roadblock detection based on Echo Characteristics and system of alarm method of realizing, the data processing and the demonstration control platform that it is characterized in that comprising GPS inertial navigation integrated navigation locating device, radar detedtor and be attached thereto; Described radar detedtor comprises monopulse antenna, frequency synthesizer, millimeter wave transceiving module, intermediate-frequency receiver and signal processor;
GPS and inertial navigation unit: train is located in real time, and locating information is sent into data processing unit;
Monopulse antenna: receive dimensional orientation radiation and target echo signal electromagnetic energy that milimeter wave detection system transmits, to realize and poor amplitude-comparison monopulse angle measurement;
Frequency synthesizer: for generation of linear FM signal and microwave-based calibration signal, and send into the millimeter wave transceiving module; Produce simultaneously timing reference signal, send into the signal processor subsystem;
Millimeter wave transceiving module: produce the linear FM signal of millimere-wave band, launch by antenna after being amplified to power demand; And will by antenna reception to target echo signal carry out frequency transformation and amplify after send into the intermediate-frequency receiver subsystem;
Intermediate-frequency receiver: to from the millimeter wave transceiving module carry out filtering, amplification and automatic gain control with signal, difference signal, then send into signal processor;
Signal processor and demonstration control platform: the target echo signal that receives is detected, and amplitude, angle and the angle error feature finished echo are extracted; Simultaneously the information after processing is shown.
Beneficial effect
A kind of detection of railway roadblock and alarm method and device based on Echo Characteristics that the present invention proposes, when train is run at high speed, the Echo Characteristics on road surface, radar detedtor extract real-time the place ahead, the train position information that data are processed and aobvious control early warning platform provides according to the GPS inertial navigation system, historical echo character statistics when from storer, reading train safe and travelling, and compare.If unusual situation about rising and falling appears in echo character, system provides alarm signal, is guaranteeing that safety shut-down apart under the prerequisite, provides enough processing times to the driver.Millimetre-wave radar detection range involved in the present invention is far away, and resolution is high, can obtain by the real-time processing of signal the information of road surface in the place ahead, and not be subjected to the impact of weather and climate, and system's simple possible can satisfy the demand of high ferro obstacle detection.
The beneficial effect that the present invention has compared with prior art is:
1) compare with the road surface safety installations of routine, native system is directly installed on the train, can carry out continual detection to road surface, the place ahead in the train driving process, can use when the pavement monitoring facility loses efficacy, and further improves the traffic safety of train.
2) radar involved in the present invention is visited barrier and warning system, employing be the millimeter wave system, system surveys and is not subjected to weather and climatic influences, has the advantages such as round-the-clock, round-the-clock.
3) radar involved in the present invention is visited barrier and warning system, by the Echo Characteristics extract real-time with compare to realize obstacle detection, avoided the problems such as complicated radar imagery, target identification, simplicity of design is conducive to low-cost the realization.
Description of drawings
Fig. 1: the block diagram of system of the present invention;
Fig. 2: the signal processing flow figure of the inventive method;
Fig. 3: echo amplitude synoptic diagram during clear;
Fig. 4: angle error synoptic diagram during clear;
Fig. 5: echo amplitude synoptic diagram when having barrier;
Fig. 6: angle error synoptic diagram when having barrier;
Fig. 7: rail barrier synoptic diagram;
Fig. 8: hinder thing to have front and back echo amplitude statistical property.
Embodiment
Now in conjunction with the embodiments, the invention will be further described for accompanying drawing:
The monitoring of railway roadblock, effective method the most directly perceived is imaging, adjusts road speed by image processing techniques and driver's judgement.Traditional imaging mode is generally optical imagery, comprises infrared imaging, CCD shooting etc.As road condition monitoring, the operating distance that the optical imagery mode can reach at present is enough to satisfy the detection demand.But optical imagery is subjected to weather effect too large, descends at mal-conditions such as rain, mists, and imaging is had a strong impact on.Accordingly, can consider to utilize the round-the-clock effect of millimeter wave, by radar detedtor road conditions be carried out Real-Time Monitoring.
Consider train in operational process, only need to know whether the place ahead exists the barrier that affects traffic safety to get final product, and not need to understand other attributes of barrier.The present invention proposes a kind of method of utilizing Echo Characteristics to compare and carries out roadblock and survey accordingly, main thought is: in the train driving process, the echo character of extract real-time millimetre-wave radar detector (distance, amplitude and Angle Information etc.), the train position information that provides according to GPS and inertial navigation unit, historical echo character statistics when from storer, reading train safe and travelling, and compare.If unusual the fluctuating appears in echo character, show that then there is potential safety hazard in the place ahead, system provides alarm signal.
The system platform that relates in the embodiment of the invention is composed as follows:
System is mainly processed by radar detedtor, data and shows that control platform, GPS and inertial navigation unit form, and Fig. 1 is the block diagram of system.
Wherein each subsystem function of radar detedtor is as follows:
Antenna house is avoided physical environment and aerodynamic impact for the protection of antenna feeder and other subsystem, guarantees that detection system can work under the practical service environment; Simultaneously with as far as possible little loss transmission electromagnetic wave.
Antenna feeder is mainly used in dimensional orientation radiation and the reception of target echo signal electromagnetic energy, realization and the poor amplitude-comparison monopulse angle measurement that milimeter wave detection system transmits.
Frequency source is sent into the millimeter wave transceiving module mainly for generation of linear FM signal and microwave-based calibration signal; Produce simultaneously timing reference signal, send into the signal processor subsystem.
The millimeter wave transceiving module produces the linear FM signal of millimere-wave band, goes out by antenna transmission after being amplified to power demand; And will by antenna reception to target echo signal carry out frequency transformation and amplify after send into the intermediate-frequency receiver subsystem.
Intermediate-frequency receiver to from the millimeter wave transceiving module carry out filtering, amplification and automatic gain control with signal, difference signal, then send into signal processor.
Signal processor is mainly used in target echo signal is detected, and finishes the extraction to echo character (such as amplitude, angle and angle error etc.).The signal processor processes flow process as shown in Figure 2.
Data are processed and are shown that control platform, GPS and inertial navigation unit function are as follows:
GPS and inertial navigation unit mainly are that train is located in real time, and locating information are sent into data processing unit.
Data processing unit and show the control platform finishes that pattern control, locating information are proofreaied and correct, database information management, in real time echo character comparison and carry out message exchange etc. with other control system.
The railway roadblock based on Echo Characteristics of the embodiment of the invention is surveyed with the alarming processing process as follows:
1) Ground Penetrating Radar echo character database
Obstacle detection system needs to set up Ground Penetrating Radar echo character database along the train operation circuit before formally putting into effect after train installs.
Concrete steps are: during train operation, radar detedtor wave beam irradiation railway road surface, and the echo character that extracts is transferred to data processing unit, data processing unit is set up Echo Characteristics database by distance along the train operation circuit in conjunction with the positional information of GPS inertial navigation system.By repeatedly operation and more new database, set up road surface echo character staqtistical data base.
Step 1: in the train traveling process, radar is to train working direction emission millimere-wave band linear FM signal, and radar antenna carries out the rf echo signal that receives to obtain intermediate-freuqncy signal after the down-converted;
Step 2: intermediate-freuqncy signal is obtained vision signal after the down coversion again, vision signal is carried out the IQ quadrature sampling after, obtain and passage I/Q, poor passage I/Q four road signals;
Step 3: adopt pulse compression technique and moving-target to detect the MTD technology, simultaneously four road signals are processed;
Step 4: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, obtain the distance between impact point and radar:
Figure BDA00002639363000071
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step 5: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, and the distance that obtains thus between impact point and radar is
Figure BDA00002639363000072
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step 6: all data are stored from the near to the remote by absolute distance, obtain the absolute distance of single sport car, the property data base data message of target amplitude and angle error;
Step 7: repeat step 1 ~ step 6 4-5 time, obtain the characteristic library information of each time; The information of a plurality of property data bases is asked assembly average by absolute distance, obtain the template characteristic database; Target amplitude in the described database and the statistical nature of angle error are arranged by absolute distance.
At the middle database that utilizes device of the present invention and set up of advancing, the railway roadblock is surveyed and alarm:
Step 1: radar is installed in the train front portion, and it is consistent with the train direct of travel to adjust controlling antenna wave beam to point;
Step 2: in the train traveling process, radar is to train working direction emission millimere-wave band linear FM signal, and it mainly is to finish in the signal processing of radar detedtor that Echo Characteristics extracts, treatment scheme as shown in Figure 2:
Radar echo signal forms and passage I, Q behind antenna reception, transceiver module down coversion, the reception of intermediate-frequency receiver intermediate frequency and IQ quadrature sampling, poor passage I, Q four tunnel vision signal entering signal processors;
Step 4: signal processor at first carries out direct current correction, pulse compression and moving-target to four road signals and detects (MTD) Check processing;
Step 5: signal processor continues to utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, and the distance that obtains thus between impact point and radar is
Figure BDA00002639363000081
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step 6: signal processor utilizes the monopulse angle measurement technique, according to the sampling point position m that obtains in 5, with in the step 3 with passage I/Q, poor passage I/Q four circuit-switched data, target to the relevant position is carried out angle measurement,, obtain the one group angle error sequence corresponding with target amplitude sequence, distance sequence in the step 5;
Step 7: signal processor is with the target signature information that obtains in step 5 and the step 6: target amplitude, distance, angle error, and the current train position data that report of GPS inertial navigation system, calculate the distance R of the relative train of target inception point 0=R+R G, R is the distance that radar records, R GFor the headstock current location calculated according to gps data and the distance of inception point, with R in above-mentioned target signature information and the Ground Penetrating Radar echo character database 0The echo statistical nature data of position are compared:
The number of times that target amplitude in real-time target amplitude in detection time and the Ground Penetrating Radar echo character database is exceeded 10dB reach always report number of times half and when over half, provide reminding driver and process the early warning signal of dangerous situation and show; Be 0.5~0.6 second described detection time.
When clear exists in the rail, article two, rail lays respectively at the position of main beam center both sides same distance, both sides rail energy equivalence, echo amplitude in the radar return in the range gate in the wave beam irradiation area rises and falls less, the Azimuth measurement of synthetic target is considered as zero degree nearly, as shown in Figure 3, Figure 4.
If when having barrier, as shown in Figure 7, will cause different variations to echo according to the barrier position.Increasing near the reflex amplitude of detector direction owing to barrier, direction can cause echo amplitude in certain distance slightly to reduce because barrier can shelter from a part of rail dorsad.The simultaneously existence of barrier also can cause the variation of Azimuth measurement error.Square iron rail energy near barrier is more, when being combined into a target, can cause the side that target is partial to barrier, so the target angle error will depart from zero degree this moment, such as Fig. 5, shown in Figure 6.The left figure of Fig. 8 is the template database of setting up under the accessible condition, use be the radar return amplitude characteristic, the radar return amplitude when the right figure of Fig. 8 is the test platform real time execution.
3) database update and maintenance
After system put into effect, Echo Characteristics data during the record train operation after train is reached terminal, after the data rejecting of dangerous situation section occurring, adopted average weighted mode, and original template database is upgraded and maintenance.

Claims (3)

1. the railway roadblock based on Echo Characteristics is surveyed and alarm method, it is characterized in that step is as follows:
Step 1: radar is installed in the train front portion, and it is consistent with the train direct of travel to adjust controlling antenna wave beam to point;
Step 2: in the train traveling process, radar is to train working direction emission millimere-wave band linear FM signal, and radar antenna carries out the rf echo signal that receives to obtain intermediate-freuqncy signal after the down-converted;
Step 3: intermediate-freuqncy signal is obtained vision signal after the down coversion again, vision signal is carried out the IQ quadrature sampling after, obtain and passage I/Q, poor passage I/Q four road signals;
Step 4: adopt pulse compression technique and moving-target to detect the MTD technology, simultaneously four road signals are processed;
Step 5: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, and the distance that obtains thus between impact point and radar is
Figure FDA00002639362900011
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step 6: utilize the monopulse angle measurement technique, according to the sampling point position m that obtains in 5, and in the step 3 with passage I/Q, poor passage I/Q four circuit-switched data, the target of relevant position is carried out angle measurement,, obtain the one group angle error sequence corresponding with target amplitude sequence, distance sequence in the step 5;
Step 7: with the target signature information that obtains in step 5 and the step 6: target amplitude, distance, angle error, and the current train position data that report of GPS inertial navigation system, calculate the distance R of the relative train of target inception point 0=R+R G, R is the distance that radar records, R GFor the headstock current location calculated according to gps data and the distance of inception point, with R in above-mentioned target signature information and the Ground Penetrating Radar echo character database 0The echo statistical nature data of position are compared:
The number of times that target amplitude in real-time target amplitude in detection time and the Ground Penetrating Radar echo character database is exceeded 10dB reach always report number of times half and when over half, provide reminding driver and process the early warning signal of dangerous situation and show; Be 0.5~0.6 second described detection time.
2. described railway roadblock based on Echo Characteristics is surveyed and alarm method according to claim 1, it is characterized in that:
The establishment step of described Ground Penetrating Radar echo character database:
Step a: radar is installed in the train front portion, and it is consistent with the train direct of travel to adjust controlling antenna wave beam to point;
Step b: in the train traveling process, radar is to train working direction emission millimere-wave band linear FM signal, and radar antenna carries out the rf echo signal that receives to obtain intermediate-freuqncy signal after the down-converted;
Step c: intermediate-freuqncy signal is obtained vision signal after the down coversion again, vision signal is carried out the IQ quadrature sampling after, obtain and passage I/Q, poor passage I/Q four road signals;
Steps d: adopt pulse compression technique and moving-target to detect the MTD technology, simultaneously four road signals are processed;
Step e: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, obtain the distance between impact point and radar:
Figure FDA00002639362900021
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step f: then utilize CFAR CFAR, processing obtains processing with the I/Q two paths of data in four circuit-switched data to step 4, obtain one group and cross permanent target amplitude amp and the corresponding sampling point position m thereof that needs alert thresholding, and the distance that obtains thus between impact point and radar is
Figure FDA00002639362900022
C is the light velocity in the formula, f sBe the systematic sampling frequency;
Step g: all data are stored from the near to the remote by absolute distance, obtain the absolute distance of single sport car, the property data base data message of target amplitude and angle error;
Step h: repeat step 1 ~ step 6 4-5 time, obtain the characteristic library information of each time; The information of a plurality of property data bases is asked assembly average by absolute distance, obtain the template characteristic database; Target amplitude in the described database and the statistical nature of angle error are arranged by absolute distance.
3. realize that each described railway roadblock based on Echo Characteristics of claim 1 ~ 2 is surveyed and the system of alarm method, the data processing and the demonstration control platform that it is characterized in that comprising GPS inertial navigation integrated navigation locating device, radar detedtor and be attached thereto for one kind; Described radar detedtor comprises monopulse antenna, frequency synthesizer, millimeter wave transceiving module, intermediate-frequency receiver and signal processor;
GPS and inertial navigation unit: train is located in real time, and locating information is sent into data processing unit;
Monopulse antenna: receive dimensional orientation radiation and target echo signal electromagnetic energy that milimeter wave detection system transmits, to realize and poor amplitude-comparison monopulse angle measurement;
Frequency synthesizer: for generation of linear FM signal and microwave-based calibration signal, and send into the millimeter wave transceiving module; Produce simultaneously timing reference signal, send into the signal processor subsystem;
Millimeter wave transceiving module: produce the linear FM signal of millimere-wave band, launch by antenna after being amplified to power demand; And will by antenna reception to target echo signal carry out frequency transformation and amplify after send into the intermediate-frequency receiver subsystem;
Intermediate-frequency receiver: to from the millimeter wave transceiving module carry out filtering, amplification and automatic gain control with signal, difference signal, then send into signal processor;
Signal processor and demonstration control platform: the target echo signal that receives is detected, and amplitude, angle and the angle error feature finished echo are extracted; Simultaneously the information after processing is shown.
CN2012105668918A 2012-12-24 2012-12-24 Method and device of railway roadblock detection and alarm based on radar return characteristics Pending CN103033808A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2012105668918A CN103033808A (en) 2012-12-24 2012-12-24 Method and device of railway roadblock detection and alarm based on radar return characteristics

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2012105668918A CN103033808A (en) 2012-12-24 2012-12-24 Method and device of railway roadblock detection and alarm based on radar return characteristics

Publications (1)

Publication Number Publication Date
CN103033808A true CN103033808A (en) 2013-04-10

Family

ID=48020880

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2012105668918A Pending CN103033808A (en) 2012-12-24 2012-12-24 Method and device of railway roadblock detection and alarm based on radar return characteristics

Country Status (1)

Country Link
CN (1) CN103033808A (en)

Cited By (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104503463A (en) * 2014-12-25 2015-04-08 中国人民解放军总参谋部第六十研究所 Active obstacle avoidance flight control method for unmanned helicopter
CN104925092A (en) * 2015-07-14 2015-09-23 上海无线电设备研究所 Rail transit auxiliary tracking early-warning anti-collision system and tracking early-warning method thereof
CN105346564A (en) * 2015-11-23 2016-02-24 无锡市雷华科技有限公司 Detecting system for perimeter intruders of parts along line of high-speed rail and detecting method of detecting system
CN105572670A (en) * 2015-12-11 2016-05-11 无锡市雷华科技有限公司 Flying bird detection radar system
CN105891816A (en) * 2015-11-09 2016-08-24 乐卡汽车智能科技(北京)有限公司 Road surface detection system and vehicle
CN106338729A (en) * 2016-08-02 2017-01-18 中南大学 Method for inversing railway base track bed contamination rate by using ground penetrating radar
CN106394616A (en) * 2015-07-31 2017-02-15 株式会社京三制作所 Train position detecting device and train position detection method
CN106597477A (en) * 2017-01-17 2017-04-26 大连理工大学 Intelligent guiding device
CN106908796A (en) * 2017-03-29 2017-06-30 西安长远电子工程有限责任公司 A kind of high ferro roadblock detection and alarm radar asorbing paint control system
CN107462885A (en) * 2017-08-11 2017-12-12 武汉雷毫科技有限公司 Millimetre-wave radar sensing device and system
CN107515394A (en) * 2017-08-11 2017-12-26 武汉雷毫科技有限公司 Millimetre-wave radar sensing device and system
CN107966685A (en) * 2017-11-15 2018-04-27 北京无线电测量研究所 The time history display methods and system that a kind of radar primary information A is shown
CN108279401A (en) * 2018-04-27 2018-07-13 湖北三江航天红林探控有限公司 A kind of non-atmospheric window millimeter wave ranging component
CN108344404A (en) * 2018-01-19 2018-07-31 陈希 A kind of millimeter wave bank base ocean wave observation instrument
CN109471075A (en) * 2018-10-19 2019-03-15 芜湖易来达雷达科技有限公司 A kind of radar neutralization automatic testing method
WO2019091448A1 (en) * 2017-11-10 2019-05-16 长城汽车股份有限公司 Method and device for tracking movable target
CN109917380A (en) * 2019-03-12 2019-06-21 西安电子工程研究所 A method of aperture synthesis imaging is realized by power detection
CN110060468A (en) * 2019-01-31 2019-07-26 厦门精益远达智能科技有限公司 Monitoring method, device and the equipment of abnormal road conditions based on millimetre-wave radar
CN110726979A (en) * 2018-07-16 2020-01-24 何冠男 Three-dimensional radar system and target positioning method
CN110785676A (en) * 2018-11-30 2020-02-11 深圳市大疆创新科技有限公司 Upper obstacle detection method, device, system, vehicle and storage medium
CN111722197A (en) * 2019-03-20 2020-09-29 上海高智科技发展有限公司 Environment detection device, portable device, environment detection method, and storage medium
CN112230212A (en) * 2020-09-28 2021-01-15 北京环境特性研究所 Radar ranging signal processing method and device
CN113252709A (en) * 2021-04-22 2021-08-13 南京航空航天大学 Food internal mold detection method based on radar technology
CN113671491A (en) * 2021-08-16 2021-11-19 珠海格力电器股份有限公司 Road condition detection and early warning method and device
TWI774445B (en) * 2021-06-28 2022-08-11 萬旭電業股份有限公司 Millimeter wave radar apparatus detecting obstacle on railway
CN115782969A (en) * 2023-02-13 2023-03-14 济南铁路信息技术有限公司 Data acquisition system applied to environmental monitoring of railway system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6570497B2 (en) * 2001-08-30 2003-05-27 General Electric Company Apparatus and method for rail track inspection
DE102006007788A1 (en) * 2006-02-20 2007-08-30 Siemens Ag Computer-assisted driverless railway train monitoring system, to show its travel behavior, has train-mounted sensors and track position markers for position data to be compared with a stored model
CN101607566B (en) * 2009-07-21 2011-06-29 中铁六局集团有限公司 Safety warning assist device for locomotive driving operation in railway system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6570497B2 (en) * 2001-08-30 2003-05-27 General Electric Company Apparatus and method for rail track inspection
DE102006007788A1 (en) * 2006-02-20 2007-08-30 Siemens Ag Computer-assisted driverless railway train monitoring system, to show its travel behavior, has train-mounted sensors and track position markers for position data to be compared with a stored model
CN101607566B (en) * 2009-07-21 2011-06-29 中铁六局集团有限公司 Safety warning assist device for locomotive driving operation in railway system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
武守俊: "毫米波汽车防撞雷达设计及其信号处理算法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104503463A (en) * 2014-12-25 2015-04-08 中国人民解放军总参谋部第六十研究所 Active obstacle avoidance flight control method for unmanned helicopter
CN104925092A (en) * 2015-07-14 2015-09-23 上海无线电设备研究所 Rail transit auxiliary tracking early-warning anti-collision system and tracking early-warning method thereof
CN104925092B (en) * 2015-07-14 2017-08-25 上海无线电设备研究所 Track traffic assistance tracking early warning CAS and its tracking method for early warning
CN106394616A (en) * 2015-07-31 2017-02-15 株式会社京三制作所 Train position detecting device and train position detection method
CN106394616B (en) * 2015-07-31 2020-03-31 株式会社京三制作所 Train position detection device and train position detection method
CN105891816B (en) * 2015-11-09 2018-06-22 乐卡汽车智能科技(北京)有限公司 road surface detection system and vehicle
CN105891816A (en) * 2015-11-09 2016-08-24 乐卡汽车智能科技(北京)有限公司 Road surface detection system and vehicle
CN105346564A (en) * 2015-11-23 2016-02-24 无锡市雷华科技有限公司 Detecting system for perimeter intruders of parts along line of high-speed rail and detecting method of detecting system
CN105346564B (en) * 2015-11-23 2017-03-08 无锡市雷华科技有限公司 Detecting system for high ferro circumference along the line invader and its detection method
CN105572670A (en) * 2015-12-11 2016-05-11 无锡市雷华科技有限公司 Flying bird detection radar system
CN106338729A (en) * 2016-08-02 2017-01-18 中南大学 Method for inversing railway base track bed contamination rate by using ground penetrating radar
CN106338729B (en) * 2016-08-02 2019-02-22 中南大学 A method of with Ground Penetrating Radar inverting railway bed railway roadbed pollution rate
CN106597477A (en) * 2017-01-17 2017-04-26 大连理工大学 Intelligent guiding device
CN106908796A (en) * 2017-03-29 2017-06-30 西安长远电子工程有限责任公司 A kind of high ferro roadblock detection and alarm radar asorbing paint control system
CN106908796B (en) * 2017-03-29 2019-11-15 西安长远电子工程有限责任公司 A kind of detection of high-speed rail roadblock and alarm radar asorbing paint control system
CN107515394A (en) * 2017-08-11 2017-12-26 武汉雷毫科技有限公司 Millimetre-wave radar sensing device and system
CN107462885A (en) * 2017-08-11 2017-12-12 武汉雷毫科技有限公司 Millimetre-wave radar sensing device and system
WO2019091448A1 (en) * 2017-11-10 2019-05-16 长城汽车股份有限公司 Method and device for tracking movable target
CN107966685A (en) * 2017-11-15 2018-04-27 北京无线电测量研究所 The time history display methods and system that a kind of radar primary information A is shown
CN108344404A (en) * 2018-01-19 2018-07-31 陈希 A kind of millimeter wave bank base ocean wave observation instrument
CN108279401A (en) * 2018-04-27 2018-07-13 湖北三江航天红林探控有限公司 A kind of non-atmospheric window millimeter wave ranging component
CN110726979A (en) * 2018-07-16 2020-01-24 何冠男 Three-dimensional radar system and target positioning method
CN110726979B (en) * 2018-07-16 2023-12-01 何冠男 Three-dimensional radar system and target positioning method
CN109471075A (en) * 2018-10-19 2019-03-15 芜湖易来达雷达科技有限公司 A kind of radar neutralization automatic testing method
CN110785676A (en) * 2018-11-30 2020-02-11 深圳市大疆创新科技有限公司 Upper obstacle detection method, device, system, vehicle and storage medium
CN110060468A (en) * 2019-01-31 2019-07-26 厦门精益远达智能科技有限公司 Monitoring method, device and the equipment of abnormal road conditions based on millimetre-wave radar
CN109917380B (en) * 2019-03-12 2022-12-06 西安电子工程研究所 Method for realizing synthetic aperture imaging through power detection
CN109917380A (en) * 2019-03-12 2019-06-21 西安电子工程研究所 A method of aperture synthesis imaging is realized by power detection
CN111722197A (en) * 2019-03-20 2020-09-29 上海高智科技发展有限公司 Environment detection device, portable device, environment detection method, and storage medium
CN112230212A (en) * 2020-09-28 2021-01-15 北京环境特性研究所 Radar ranging signal processing method and device
CN113252709B (en) * 2021-04-22 2022-03-25 南京航空航天大学 Food internal mold detection method based on radar technology
CN113252709A (en) * 2021-04-22 2021-08-13 南京航空航天大学 Food internal mold detection method based on radar technology
TWI774445B (en) * 2021-06-28 2022-08-11 萬旭電業股份有限公司 Millimeter wave radar apparatus detecting obstacle on railway
CN113671491A (en) * 2021-08-16 2021-11-19 珠海格力电器股份有限公司 Road condition detection and early warning method and device
CN115782969A (en) * 2023-02-13 2023-03-14 济南铁路信息技术有限公司 Data acquisition system applied to environmental monitoring of railway system

Similar Documents

Publication Publication Date Title
CN103033808A (en) Method and device of railway roadblock detection and alarm based on radar return characteristics
CN103235310B (en) Vehicular millimeter-wave train collision avoidance radar system
CN105261215B (en) Intelligent transportation behavior cognitive method and system based on microwave
Zhang et al. MRPT: Millimeter-wave radar-based pedestrian trajectory tracking for autonomous urban driving
CN100541555C (en) A kind of data assessment system of ADS-B surveillance technology
Felguera-Martín et al. Vehicular traffic surveillance and road lane detection using radar interferometry
CN110542898A (en) Radar group-based vehicle behavior continuous tracking detection system and method
CN109298415A (en) A kind of track and road barricade object detecting method
CN202995036U (en) Radar echo characteristic based system for detecting and alarming railway roadblocks
RU2577516C2 (en) Method and apparatus for detecting rotating wheel
US20110001657A1 (en) Sensor suite and signal processing for border surveillance
CN106125076A (en) A kind of Anticollision Radar method for early warning being applied to urban transportation and device
CN102431495B (en) 77GHz millimeter wave corner false-alarm inhibiting system for automobile active anticollision radar
CN105334514A (en) Tramcar radar video compound early warning crashproof system and method
CN109615880B (en) Vehicle flow measuring method based on radar image processing
CN103914983A (en) Traffic intersection management laser device and realizing method thereof
CN107783116A (en) Pilotless automobile complex environment anticollision millimetre-wave radar system
CN109367529B (en) Millimeter wave radar combined installation structure and virtual tunnel construction and obstacle judgment method
CN103794087A (en) Method and system for assistant collision avoidance of objects moving to pass through road based on wireless coordination
CN211505884U (en) Vehicle positioning device based on ultrahigh frequency RFID and millimeter wave radar
CN107783123A (en) Pilotless automobile complex environment anticollision MMW RADAR SIGNAL USING processing system and method
CN107578646A (en) low slow small target detection monitoring management system and method
CN102565771B (en) Single station wind profile radar-based wind shear identification and tracking method
CN210572736U (en) Low, small and slow target automatic detection, tracking and identification system
CN205168320U (en) Automobile safety precaution ware that goes based on thing networking

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20130410