CN105629238A - Wind field digital reconstruction method through airborne radar - Google Patents

Wind field digital reconstruction method through airborne radar Download PDF

Info

Publication number
CN105629238A
CN105629238A CN201510996454.3A CN201510996454A CN105629238A CN 105629238 A CN105629238 A CN 105629238A CN 201510996454 A CN201510996454 A CN 201510996454A CN 105629238 A CN105629238 A CN 105629238A
Authority
CN
China
Prior art keywords
wind field
radar
wind
airborne radar
turbulence
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
CN201510996454.3A
Other languages
Chinese (zh)
Inventor
韩国玺
张建村
黄飞
白鹏
关发明
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.)
China Academy of Aerospace Aerodynamics CAAA
Original Assignee
China Academy of Aerospace Aerodynamics CAAA
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 China Academy of Aerospace Aerodynamics CAAA filed Critical China Academy of Aerospace Aerodynamics CAAA
Priority to CN201510996454.3A priority Critical patent/CN105629238A/en
Publication of CN105629238A publication Critical patent/CN105629238A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
    • G01S13/953—Radar or analogous systems specially adapted for specific applications for meteorological use mounted on aircraft
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Electromagnetism (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention relates to a wind field reconstruction method, and particularly relates to a wind field digital reconstruction method through airborne radar. The wind field digital reconstruction method through airborne radar comprises the steps that airborne radar performs real-time measurement on a wind field of a target area so as to obtain spectral width data of the wind field and mean radial velocity of the wind field; the estimated value of turbulence intensity of the wind field is calculated by utilizing the spectral width data of the wind field, turbulence scale distribution of the wind field is obtained through radar airborne flight parameters, the estimated value of turbulence intensity is combined with turbulence scale distribution so as to obtain transfer functions of different positions of flight space, and a digital model of the turbulence wind field is established; a mean wind velocity wind field is established by utilizing mean radial velocity of the wind field; and the digital model of the turbulence wind field and the mean wind velocity wind field are linearly superposed according to spatial distribution so that digital reconstruction of the wind field is performed. Wind velocity and wind velocity direction signals according to spatial distribution or time distribution can be provided according to the requirements so that that limitation that existing airborne radar can only provide the wind field statistical characteristics can be overcome.

Description

Utilize airborne radar that wind field is carried out the method for digital reconstruction
Technical field
The present invention relates to a kind of wind field method for reconstructing. More specifically, the present invention relates to and a kind of utilize airborne radar that wind field is carried out the method for digital reconstruction.
Background technology
The flight passing through dangerous wind field can cause aircraft to jolt and bigger body overload, and what not only seriously affect passenger plane takes quality, also can cause causing injury in main cabin and wait hazard event, and the accident that when experience is turbulent, passenger is injured happens occasionally.
Current in-service aircraft is to the detection of turbulent flow and the disturbance wind field such as micro-undershoot wind shear and early warning, and mainly relying on taking meteorologic radar is the detection equipment of core. Present meteorologic radar widely uses doppler's coherent system, and the target wind fields such as turbulent flow and wind shear can be measured by doppler's system meteorologic radar, it is provided that three kinds of statistical natures of wind field, wherein Radar Spectrum width data provide the rootmean-square information of wind field speed.
Although Radar Spectrum width contains the speed rootmean-square information of turbulent performance, but the wind field digital model meeting this statistical nature can not be provided. And in order to the flight wearing the flight of wind field is studied safely, or the Wind measurement equipment of Development of New Generation, all need wind field digital model.
Now other method is also had to be predicted by the flight safety of wind field by airborne radar, such as at about 2001, Rockwell-Ke Linsi (RockwellCollins) company utilizes Airborne Doppler meteorologic radar to develop new turbulence detection and early warning system (TurbulencePredictionandWarningSystem, TPAWS), research and development department accumulates data by a large amount of flight experiments in advance, set up the numerical value corresponding relation between turbulent performance statistical nature and aircraft flight response, flight safety is predicted by the wind field statistical nature obtained according to detection when radar installation uses, but such method test cost is higher and has certain danger. if can utilize radar data that wind field is carried out digital reconstruction, then a large amount of flight tests can be avoided to save cost.
Based on such background, in the face of the user demand of wind field digital model, need a kind of reduction wind field based on radar detection data and the method for modeling, to facilitate the flight to wind field to study safely, and be conducive to the secondary development of the Wind measurement equipment such as radar.
Summary of the invention
It is an object of the invention to solve at least the problems referred to above, and the advantage that will illustrate at least below is provided.
It is a still further object of the present invention to provide a kind of can provide spatially distribution or the wind speed that temporally distributes and wind speed direction signal as required, and overcoming existing airborne radar can only provide the airborne radar that utilizes of limitation of wind field statistical nature that wind field is carried out the method for digital reconstruction.
In order to realize these objects of the present invention and other advantage, it provides a kind of utilize airborne radar that wind field is carried out the method for digital reconstruction, comprise the following steps:
The wind field of target area is measured by step one, airborne radar in real time, with the average radial velocity of the spectrum width data and described wind field that obtain described wind field;
Step 2, the spectrum width data of the described wind field that step one obtains are utilized to calculate the estimated value of turbulence intensity of described wind field, the turbulence scale distribution of described wind field is obtained by the flight parameter of radar carrier aircraft, the estimated value of turbulence intensity and turbulence scale distribution are combined the transport function obtaining flight space different positions, and then sets up the digital model of turbulent performance;
Step 3, the average radial velocity of the described wind field that step one obtains is utilized to set up mean wind speed wind field;
The mean wind speed wind field that the digital model of step 4, turbulent performance step 2 set up and step 3 are set up carries out linear superposition according to spatial distribution, thus wind field is carried out digital reconstruction.
Preferably, wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and the flight parameter of the radar carrier aircraft in described step 2 comprises the positional information of radar and the flight parameter of carrier aircraft.
Preferably, wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and the flight parameter of described carrier aircraft comprises flight height and the terrain roughness of carrier aircraft.
Preferably, wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, in described step 2, it may also be useful to be the digital model of the method establishment turbulent performance of the wave filter of G (s) by transport function by zero-mean white Gaussian noise.
Preferably, wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and described transport function G (s) is calculated in conjunction with De Laidun model by the estimated value of the turbulence intensity of described wind field.
Preferably, wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and utilizes the estimated value that the spectrum width data of the described wind field that step one obtains combine turbulent flow spectral model and calculate the turbulence intensity of described wind field.
The present invention at least comprises following useful effect: the present invention utilizes the statistical nature that airborne radar probe wind place obtains, in conjunction with the flight parameter of radar carrier aircraft, set up the wind field digital model of a three dimension scale, the statistical nature of the wind field digital model set up is consistent with radar detection result, also, namely under the prerequisite of satisfied research and user demand, the digital reconstruction to airborne radar institute's probe wind field is completed. The present invention can provide the wind speed and wind speed direction signal that spatially distribute or temporally distribute as required, overcomes the limitation that existing airborne radar can only provide wind field statistical nature. The dimensional wind digital model of gained may be used for the researchs such as the evaluation of wind field, the flight emulation of wind field and Wind field variety rule, for the secondary development of the Wind measurement products such as radar provides method basis.
Part is embodied by other advantage of the present invention, target and feature by explanation below, and the technician by this area by the research and practice to the present invention is also understood by part.
Accompanying drawing explanation
Wind field is carried out the schematic flow sheet of method of digital reconstruction by the airborne radar that utilizes that Fig. 1 is the present invention;
Fig. 2 is that wind field is detected the spectrum width data obtained by the airborne radar in embodiments of the invention;
Fig. 3 is three axle wind speed profile schematic diagram on the wind field medullary ray completing digital reconstruction in embodiments of the invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail, to make those skilled in the art can implement according to this with reference to specification sheets word.
Such as " have " it is to be understood that used herein, other element one or more do not allotted in " comprising " and " comprising " term or its combination existence or interpolation.
As shown in Figure 1, the present invention provides a kind of and utilizes airborne radar that wind field is carried out the method for digital reconstruction, general disturbance wind field is made up of turbulent performance fluctuations in wind speed and mean wind speed two portions, wherein turbulent performance needs to set up by turbulence intensity value, and the average radial velocity that mean wind speed information can be provided by radar Doppler provides. The significant parameter of wind field modeling has turbulence scale and turbulence intensity, and the yardstick of turbulent flow changes, the existing ripe achievement in research of its value with flight height and the terrain roughness of radar carrier aircraft, and the intensity of turbulent flow is based on the turbulence intensity estimated value of radar Doppler. Specifically comprise the following steps:
The wind field of target area is measured by step one, airborne radar in real time, with the average radial velocity of the spectrum width data and described wind field that obtain described wind field. Airborne radar can be doppler's meteorologic radar, and the spectrum width data packet of wind field contains the rootmean-square information of wind field speed, and the average radial velocity of wind field reflects the benchmark value information of turbulent flow wind speed random fluctuation.
Step 2, the spectrum width data of the described wind field that step one obtains are utilized to calculate the estimated value of turbulence intensity of described wind field, solve the estimated value of the turbulence intensity of wind field, need to set up Closure equation group by Radar Spectrum width data and turbulent flow spectral model, carry out iterative numerical and solve. The turbulence scale distribution of described wind field is obtained by the flight parameter of radar carrier aircraft, the estimated value of turbulence intensity and turbulence scale distribution are combined the transport function obtaining flight space different positions, so just when ensureing spectrum width/turbulence intensity equivalence, and then the digital model of turbulent performance can be set up.
Step 3, the average radial velocity of the described wind field that step one obtains is utilized to set up mean wind speed wind field.
The mean wind speed wind field that the digital model of step 4, turbulent performance step 2 set up and step 3 are set up carries out linear superposition according to spatial distribution, two kinds of models combine, thus wind field is carried out digital reconstruction, obtain three axle wind speed profile on the medullary ray of wind field.
Wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and the flight parameter of the radar carrier aircraft in described step 2 comprises the positional information of radar and the flight parameter of carrier aircraft.
Wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and the flight parameter of described carrier aircraft comprises flight height and the terrain roughness of carrier aircraft.
Wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, in described step 2, it may also be useful to be the digital model of the method establishment turbulent performance of the wave filter of G (s) by transport function by zero-mean white Gaussian noise.
Wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and described transport function G (s) is calculated in conjunction with De Laidun model by the estimated value of the turbulence intensity of described wind field.
Wind field is carried out in the method for digital reconstruction by the described airborne radar that utilizes, and utilizes the estimated value that the spectrum width data of the described wind field that step one obtains combine turbulent flow spectral model and calculate the turbulence intensity of described wind field.
Embodiment 1
The wind field of target area is measured by step one, radar Doppler in real time, with the average radial velocity of the spectrum width data and described wind field that obtain described wind field. The half wide detection data of covering of the fan spectrum being illustrated in figure 2 radar Doppler, wherein mid-line frame selection area is predetermined wind field reconstruction regions.
Step 2, utilize the estimated value that the spectrum width data of the described wind field that step one obtains combine turbulent flow spectral model and calculate the turbulence intensity of described wind field; The turbulence scale distribution of described wind field is obtained by the flight of the positional information of radar, carrier aircraft height and terrain roughness. Obtain flying the transport function G (s) of space different positions by the estimated value of turbulence intensity and turbulence scale distribution and De Laidun models coupling, it may also be useful to is the digital model of the method establishment turbulent performance of the wave filter of G (s) by transport function by zero-mean white Gaussian noise. Wherein, radar scanner sea level elevation 2400 meters, longitudinally (flight direction) turbulence scale Lu=488 rice, side direction (spanwise) turbulence scale Lv=244 rice, normal direction () turbulence scale Lw=244 rice in the body plane of symmetry downwards.
Step 3, the average radial velocity of the described wind field that step one obtains is utilized to set up mean wind speed wind field.
The mean wind speed wind field that the digital model of step 4, turbulent performance step 2 set up and step 3 are set up carries out linear superposition according to spatial distribution, thus wind field is carried out digital reconstruction. Utilize the wind field of digital reconstruction to be estimated by wind speed, obtain three axle wind speed profile on the medullary ray of wind field, as shown in Figure 3, X-coordinate is flying distance, unit is Km, the wind speed that ordinate zou is followed successively by X-axis direction, Y-axis direction and Z direction of principal axis from top to bottom, and unit is m s-1��
The spectrum width data of the described wind field that step one obtains are utilized to combine the specific algorithm of estimated value of the turbulence intensity that turbulent flow spectral model calculates described wind field as follows:
Step a, the turbulence intensity of wind field definition formula is become system of equations with the spectrum width data definition Shi Lianli of wind field.
The turbulence intensity definition formula of wind field is:
σ 2 = lim T → ∞ 1 2 T ∫ - T T ( v - v ‾ ) 2 d t ,
Wherein, �� is the turbulence intensity of wind field, and T is the time scale measuring statistical average wind speed, and v is local demeanour,For mean wind speed.
The spectrum width data definition formula of wind field is:
σ v 2 = 1 P ‾ r ∫ - ∞ ∞ ( v - v ‾ ) 2 φ ( v ) d v ,
Wherein, ��vFor the spectrum width data of wind field, �� (v) is velocity spectrum distribution density, is the power of doppler's speed in v to v+dv interval,For the mean power of echoed signal, v is local demeanour,For mean wind speed.
The definition formula of the mean power of echoed signal is:
P ‾ r = ∫ - ∞ ∞ φ ( v ) d v ,
Wherein,For the mean power of echoed signal, v is local demeanour, and �� (v) is velocity spectrum distribution density, is the power of doppler's speed in v to v+dv interval.
Step b, derive the relational expression containing the described wide data of spectrum and turbulence intensity according to Feng Kamen turbulent performance spectral model, so that the system of equations in described step a closes.
The relational expression gone out based on Feng Kamen model inference is:
When 0 < r < during R,
< &sigma; v 2 ( r ) > &sigma; 2 = 1 - 55 27 &CenterDot; 1 &pi;a &prime; &CenterDot; &mu; 5 &Integral; 0 &infin; x 3 / 2 e - x &lsqb; 1 + &mu; 2 x &rsqb; 17 / 6 &CenterDot; M &lsqb; 2 , 5 2 , ( 1 - r 2 R 2 ) x &rsqb; d x ,
When R < during r,
< &sigma; v 2 ( r ) > &sigma; 2 = 1 - 55 27 &CenterDot; 1 &pi;a &prime; &CenterDot; &mu; 5 &Integral; 0 &infin; x 3 / 2 e - ( r / R ) 2 x &lsqb; 1 + &mu; 2 x &rsqb; 17 / 6 &CenterDot; M &lsqb; 1 2 , 5 2 , ( r 2 R 2 - 1 ) x &rsqb; d x ,
Wherein, r is the Feng Chang position observed, and R is a characteristic length of turbulent performance, equal radial with tangential velocity variance than R=��r/����; �� is the turbulence intensity of wind field; �� is a non-dimensional parameter, is directly proportional to turbulence scale, is inversely proportional to radial velocity variance, ��=a ' L/ ��r, L is turbulence scale, and a is a parameter relevant with antenna with radar, and a ' is the first order derivative of a relative to radar detection position; M (a, ��, ��) is the compound hypergeometric distribution function of a structure; Integration amountBeing the structure function of the spatial frequency k of turbulent flow, the unit of k is radian/rice.
The wind field of target area is measured by step c, airborne radar in real time, to obtain the spectrum width data of described wind field.
The selected target area to be observed, detects target area with radar Doppler, obtains the spectrum width data of wind field.
Steps d, based on fourth order Runge-Kutta way, in conjunction with radar detection parameter, the spectrum width data of the described wind field that step c obtains are utilized the system of equations after closed in described step b to be solved, to obtain the estimated value of the turbulence intensity of described wind field.
Although embodiment of the present invention are open as above, but listed utilization that it is not restricted in specification sheets and enforcement mode, it can be applied to various applicable the field of the invention completely, for those skilled in the art, can easily realize other amendment, therefore claim is not being deviated from and under general concept that equivalency range limits, the present invention is not limited to specific details and illustrates and the legend described here.

Claims (6)

1. one kind utilizes airborne radar that wind field is carried out the method for digital reconstruction, it is characterised in that, comprise the following steps:
The wind field of target area is measured by step one, airborne radar in real time, with the average radial velocity of the spectrum width data and described wind field that obtain described wind field;
Step 2, the spectrum width data of the described wind field that step one obtains are utilized to calculate the estimated value of turbulence intensity of described wind field, the turbulence scale distribution of described wind field is obtained by the flight parameter of radar carrier aircraft, the estimated value of turbulence intensity and turbulence scale distribution are combined the transport function obtaining flight space different positions, and then sets up the digital model of turbulent performance;
Step 3, the average radial velocity of the described wind field that step one obtains is utilized to set up mean wind speed wind field;
The mean wind speed wind field that the digital model of step 4, turbulent performance step 2 set up and step 3 are set up carries out linear superposition according to spatial distribution, thus wind field is carried out digital reconstruction.
2. utilize airborne radar that wind field is carried out the method for digital reconstruction as claimed in claim 1, it is characterised in that, the flight parameter of the radar carrier aircraft in described step 2 comprises the positional information of radar and the flight parameter of carrier aircraft.
3. utilize airborne radar that wind field is carried out the method for digital reconstruction as claimed in claim 2, it is characterised in that, the flight parameter of described carrier aircraft comprises flight height and the terrain roughness of carrier aircraft.
4. utilize airborne radar that wind field is carried out the method for digital reconstruction as claimed in claim 1, it is characterized in that, in described step 2, it may also be useful to be the digital model of the method establishment turbulent performance of the wave filter of G (s) by transport function by zero-mean white Gaussian noise.
5. utilize airborne radar that wind field is carried out the method for digital reconstruction as claimed in claim 4, it is characterised in that, described transport function G (s) is calculated in conjunction with De Laidun model by the estimated value of the turbulence intensity of described wind field.
6. utilize airborne radar that wind field is carried out the method for digital reconstruction as claimed in claim 1, it is characterised in that, utilize the estimated value that the spectrum width data of the described wind field that step one obtains combine turbulent flow spectral model and calculate the turbulence intensity of described wind field.
CN201510996454.3A 2015-12-25 2015-12-25 Wind field digital reconstruction method through airborne radar Pending CN105629238A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510996454.3A CN105629238A (en) 2015-12-25 2015-12-25 Wind field digital reconstruction method through airborne radar

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510996454.3A CN105629238A (en) 2015-12-25 2015-12-25 Wind field digital reconstruction method through airborne radar

Publications (1)

Publication Number Publication Date
CN105629238A true CN105629238A (en) 2016-06-01

Family

ID=56044354

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510996454.3A Pending CN105629238A (en) 2015-12-25 2015-12-25 Wind field digital reconstruction method through airborne radar

Country Status (1)

Country Link
CN (1) CN105629238A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111220982A (en) * 2019-11-22 2020-06-02 南京航空航天大学 Airborne clear-sky bump detector and working method thereof

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101988963A (en) * 2010-04-19 2011-03-23 南京恩瑞特实业有限公司 Method for acquiring three-dimensional wind field by using wind profiler radar
US9019146B1 (en) * 2011-09-27 2015-04-28 Rockwell Collins, Inc. Aviation display depiction of weather threats
CN105022036A (en) * 2015-08-26 2015-11-04 成都信息工程大学 Wind profile radar wind speed determination method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101988963A (en) * 2010-04-19 2011-03-23 南京恩瑞特实业有限公司 Method for acquiring three-dimensional wind field by using wind profiler radar
US9019146B1 (en) * 2011-09-27 2015-04-28 Rockwell Collins, Inc. Aviation display depiction of weather threats
CN105022036A (en) * 2015-08-26 2015-11-04 成都信息工程大学 Wind profile radar wind speed determination method

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
HAN GUOXI ETC: ""Research on assessment indices of safety and comfort for flight in wind fields"", 《THE 2ND INTERNATIONAL SYMPOSIUM ON AIRCRAFT AIRWORTHINESS(ISAA 2011)》 *
U.OSCAR LAPPE: ""A low altitude turbulence model for estimating gust loads aircraft"", 《AIAA 2ND AEROSPACE SCIENCES MEETING》 *
刘刚等: ""变化风场的建模及其对飞行器运动影响的仿真研究"", 《2003年全国***仿真学术年会论文集》 *
李志涛: ""高原机场民机进近穿越大气紊流场的危险性评估"", 《北京航空航天大学硕士论文》 *
赵震炎等: ""Dryden大气紊流模型的数字仿真技术"", 《航空学报》 *
陈严等: ""风力机风场模型的研究及紊流风场的MATLAB数值模拟"", 《太阳能学报》 *
韩国玺等: ""基于雷达谱宽和紊流模型的风场飞行风险预测"", 《飞行力学》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111220982A (en) * 2019-11-22 2020-06-02 南京航空航天大学 Airborne clear-sky bump detector and working method thereof

Similar Documents

Publication Publication Date Title
CN202046439U (en) Hedgehopping obstacle avoiding subsystem for electric line patrol unmanned helicopter
Bell et al. Dynamics of trailing vortices in the wake of a generic high-speed train
CN104898696B (en) High pressure based on electric-field intensity rate of change is the same as tower list back transmission line unmanned plane inspection barrier-avoiding method
CN105629237A (en) Wind field risk assessment method through airborne radar
CN102722178B (en) Electric field measuring obstacle avoidance system and method for live wire routing inspection of unmanned aerial vehicle
CN102736632B (en) Differential evadible system of electric field for unmanned aerial vehicle polling live wires and method
WO2016184308A1 (en) Method for obstacle avoidance during unmanned aerial vehicle routing inspection of high-voltage double-circuit power transmission lines on same tower based on change rate of electric field intensity
CN106772387B (en) A kind of wind shear recognition methods
CN103257296B (en) A kind of low-frequency oscillation of electric power system on-line analysis and method for early warning
CN106205114A (en) A kind of Freeway Conditions information real time acquiring method based on data fusion
CN103903481A (en) Design method for threshold value and envelop wire of near-earth alarm system
CN102608606A (en) Effective method for accurately detecting multiple targets by automobile blind zone monitoring radar
CN102931728B (en) Online identification and visualization method for power grid disturbances based on multi-resolution wavelet analysis
CN106054169A (en) Multi-station radar signal fusion detection method based on tracking information
CN107025343A (en) Monitoring and energy assessment technology are hit in a kind of collision towards composite structure
CN109080661A (en) It is a kind of that fault detection method is ground based on the track wave of EEMD Energy-Entropy and WVD
CN105206115B (en) A kind of air traffic control sector traffic capacity detection method based on principal component analysis
CN108762305B (en) Unmanned aerial vehicle collision avoidance aerial vehicle makes somebody a mere figurehead alternating current power line&#39;s early warning device
Shen et al. Two‐step locating method for aircraft wake vortices based on Gabor filter and velocity range distribution
CN101996274B (en) Method for estimating flight technical error in symmetric planes in performance base navigation
CN105629239A (en) Method for estimating wind field turbulence intensity by using airborne radar
CN105629238A (en) Wind field digital reconstruction method through airborne radar
CN104849701B (en) A kind of clutter suppression method of vehicle anti-collision radar system
CN108828332A (en) A method of calculating lightning location system detection efficient
CN108614579B (en) Early warning method for collision avoidance overhead alternating current power line of unmanned aerial vehicle

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160601

RJ01 Rejection of invention patent application after publication