CN117500045B - LDSW ultra-low power consumption artificial intelligence communication positioning system - Google Patents
LDSW ultra-low power consumption artificial intelligence communication positioning system Download PDFInfo
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- 238000004364 calculation method Methods 0.000 claims description 12
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0225—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal
- H04W52/0248—Power saving arrangements in terminal devices using monitoring of external events, e.g. the presence of a signal dependent on the time of the day, e.g. according to expected transmission activity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention relates to the field of communication positioning, in particular to an LDSW ultra-low power consumption artificial intelligent communication positioning system, which comprises an LDSW terminal, a base station, an LDSW gateway and a central processing unit; the LDSW gateway is used for receiving and processing signals from the base stations and forwarding the signals to the central processing unit through a wireless network, and the central processing unit is used for receiving data transmitted from the LDSW gateway and analyzing, processing and calculating the data so as to determine the position of the user terminal. According to the invention, the LDSW gateway is communicated with the LDSW terminal, so that the communication efficiency is improved, and when positioning is not needed, the LDSW terminal is in a dormant state, the system power consumption is low, and the energy is saved.
Description
Technical Field
The invention relates to the field of communication positioning, in particular to an LDSW ultra-low power consumption artificial intelligent communication positioning system.
Background
LDSW is an ultra-low duty cycle intelligent wireless communication technology, and is a brand new generation of wireless intelligent communication technology. The LDSW is based on an active RFID technology, has the characteristics of low power consumption, low cost, longer communication distance, multi-channel cooperation and the like, and can meet the information transmission requirements of various Internet of things. The LDSW adopts the global 2.45GHz ISM unlicensed frequency band, and is widely applicable to various industries.
As disclosed in the prior art of CN108566687a, an LDSW ultra-low power consumption wireless ad hoc network system and a communication method, the system is composed of a plurality of wireless intelligent terminals capable of independently initiating communication, each wireless intelligent terminal is usually in a periodic sleep state, and monitors a signal on a public wireless communication channel for an instant low power consumption standby state after waking up; any intelligent terminal can grasp the instant of sleeping and waking up of other intelligent terminals to establish communication with the other intelligent terminals in a mode of continuously and repeatedly broadcasting information to the other intelligent terminals on a public wireless communication channel in a very short period of time, and returns to a low-power consumption standby state after the communication is finished.
Another exemplary system and method for intelligent traffic management based on LDSW internet of things disclosed in the prior art, such as CN116486600a, divides traffic congestion status information of each road section, different traffic directions and different times of a city into different levels, and finely manages city vehicles with economy as a lever according to the accumulation of time of different congested road sections passed by each trip of each vehicle.
Looking at an emergency call system using LDSW technology as disclosed in the prior art of CN116115204a, the emergency call system comprises a wearing device for the patient to wear to detect the physiological index of the patient, a monitoring platform for receiving the detection data obtained by the wearing device and further monitoring and judging the physical state of the patient, and a communication connection module for connecting the wearing device with the monitoring platform in a signal manner.
At present, when positioning is performed by using an LDSW technology, the positioning accuracy is still low, and the invention is made in order to solve the common problems in the field.
Disclosure of Invention
The invention aims to provide an LDSW ultra-low power consumption artificial intelligent communication positioning system aiming at the defects existing at present.
In order to overcome the defects in the prior art, the invention adopts the following technical scheme:
an LDSW ultra-low power consumption artificial intelligent communication positioning system comprises an LDSW terminal, a base station, an LDSW gateway and a central processing unit; the LDSW gateway is used for receiving and processing signals from the base stations and forwarding the signals to the central processing unit through the wireless network, and the central processing unit is used for receiving data transmitted from the LDSW gateway and analyzing and processing the data so as to determine the position of the user terminal;
the LDSW ultra-low power consumption artificial intelligent communication positioning system comprises the following working steps:
s1, a central processing unit receives positioning requirements, a wake-up signal generation module generates a wake-up signal, and the wake-up signal is sent to an LDSW terminal through an LDSW gateway and a base station;
after receiving the wake-up signal, the LDSW gateway sends a continuous signal to the LDSW terminal through the base station, and after the LDSW terminal recognizes the continuous signal, two-way communication is established between the LDSW gateway and the base station, and S2 is executed; when the LDSW terminal does not receive the signal, the LDSW terminal is in a dormant state and continuously executes S1;
s2, starting an LDSW terminal, wherein the LDSW terminal sends positioning signals to surrounding base stations, and the base stations send the positioning signals to a central processing unit through an LDSW gateway;
s3, the central processing unit generates positioning of the LDSW terminal;
s4, displaying a positioning picture by a positioning result display module;
s5, the positioning result encryption module encrypts the positioning picture.
Further, the base station comprises an antenna, a signal processing module, a base station controller and a base station encryption module; the antenna is used for sending and receiving wireless signals so as to communicate with other parts of the artificial intelligent communication positioning system; the signal processing module comprises a modulator and a demodulator and is used for processing information received by the antenna; the base station controller is used for managing the operation of the base station according to the information processed by the signal processing module, wherein the operation comprises resource allocation, user access control and call management; the base station encryption module is used for encrypting communication content of the base station.
Further, the LDSW terminal comprises a communication module, an LDSW processing module, a power management unit and an external interface, wherein the communication module is used for receiving and transmitting communication content between the LDSW terminal and the base station; the LDSW processing module is used for processing communication data, executing a communication protocol and running an application program; the power supply management unit is used for managing power supply of a power supply; the external interface is used for connecting external equipment.
Further, the LDSW gateway comprises an LDSW communication protocol stack, a radio frequency adjustment and transmission module, a power consumption management module and an identity verification module; the LDSW communication protocol stack uses a low duty cycle communication mode; the radio frequency adjusting and transmitting module is used for adjusting, transmitting and receiving signals; the power consumption management module is used for managing the power consumption of the LDSW gateway; the identity verification module is used for verifying the identity of the LDSW terminal which communicates with the LDSW gateway.
Further, the central processing unit comprises a preprocessing module, a wake-up signal generating module, a calculating module, a positioning result display module and a positioning result encryption module; the wake-up signal generation module is used for generating a wake-up signal; the preprocessing module is used for preprocessing and reducing noise of the transmitted positioning signal after the LDSW terminal receives the wake-up signal; the computing module comprises an algorithm storage unit, an algorithm execution unit and a computing result storage unit, wherein the algorithm storage unit is used for storing an algorithm, the algorithm execution unit is used for computing the position of the LDSW terminal according to the algorithm stored by the algorithm storage unit and the signal processed by the preprocessing module, and the computing result storage unit is used for storing the computing result of the algorithm execution unit; the positioning result display module is used for generating and displaying positioning pictures according to the calculation result of the algorithm execution unit and satellite diagrams near the base station; the positioning result encryption module is used for encrypting the positioning picture generated by the positioning result display module.
Still further, the calculating module generating the positioning of the LDSW terminal includes the steps of:
s31, acquiring time for a positioning signal sent by an LDSW terminal to reach surrounding base stations, and selecting 3 base stations with shortest time as target base stations;
s32, obtaining the target baseGenerating a virtual map according to the satellite map, and marking the coordinates of the target base station in the virtual map）、（/>）、（/>）；
S33, obtaining initial coordinates of the LDSW terminal through a Chan algorithm）；
S34, according to Taylor algorithm, the initial coordinates are calculated) Iterative updating is carried out to obtain corrected coordinates (X, Y), wherein the coordinates are the positioning of the LDSW terminal, and the Taylor algorithm is used for the initial coordinates (I)>) The end conditions for performing the iterative update are: (X- & gt & lt/EN & gt)>)+(Y-/>)＜m；
And S35, updating the error threshold m according to the plurality of iteration coordinates of the initial coordinates acquired in the S34 and the errors of the iteration coordinates and the initial coordinates.
Further, updating the error threshold m includes the steps of:
s351, acquiring iteration coordinates and errors of the previous n iterations of coordinates (X, Y) corrected by a Taylor algorithm according to the calculation record;
s352, carrying out n times of iteration on the corrected coordinates (X, Y) according to the updated index value n and the Taylor algorithm, and obtaining iteration coordinates and errors thereof generated in the n times of iteration;
s353, updating m according to the following formula:
=/>*/>*/>+/>*/>；
=/>；
=/>；
wherein,for the updated error threshold, +.>For the first weight, ++>For the second weight, ++>Front of corrected coordinates (X, Y)Maximum error of n iterations, +.>For the minimum error of the last n iterations of the corrected coordinates (X, Y),error generated in the ith iteration proceeding to the corrected coordinates (X, Y), +.>The error generated in the j-th iteration is the corrected coordinate (X, Y).
The beneficial effects obtained by the invention are as follows: 1. the LDSW gateway is communicated with the LDSW terminal, so that the communication efficiency is improved, and when positioning is not needed, the LDSW terminal is in a dormant state, the system power consumption is low, and the energy saving is facilitated.
2. The position of the LDSW terminal is initially positioned by using the Chan algorithm, and then the initial positioning result is iteratively updated by using the Taylor algorithm, so that the problem of lower positioning accuracy of the Chan algorithm is solved, and the error is stabilized at a smaller value by continuous iteration, thereby being beneficial to improving the accuracy degree of the calculation result.
3. By acquiring the error of the iterative coordinates near the error threshold and updating the error threshold, the value of the error threshold is close to the part with slower change and lower change amplitude in a plurality of errors, and when the positioning is performed next time, the corrected coordinates (X, Y) are calculated by using the updated error threshold, so that the problem of overlarge difference between the corrected coordinates (X, Y) and the adjacent iterative coordinates is avoided.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate like parts in the different views.
Fig. 1 is a schematic structural view of the present invention.
Fig. 2 is a flow chart of the operation of the present invention.
Fig. 3 is a flowchart of the calculation module of the present invention generating the positioning of the LDSW terminal.
Fig. 4 is a flowchart of the operation of the second embodiment of the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: according to fig. 1, fig. 2 and fig. 3, the embodiment provides an LDSW ultra-low power consumption artificial intelligent communication positioning system, which comprises an LDSW terminal, a base station, an LDSW gateway and a central processing unit; the LDSW gateway is used for receiving and processing signals from the base stations and forwarding the signals to the central processing unit through the wireless network, and the central processing unit is used for receiving data transmitted from the LDSW gateway and analyzing and processing the data so as to determine the position of the user terminal;
the LDSW ultra-low power consumption artificial intelligent communication positioning system comprises the following working steps:
s1, a central processing unit receives positioning requirements, a wake-up signal generation module generates a wake-up signal, and the wake-up signal is sent to an LDSW terminal through an LDSW gateway and a base station;
after receiving the wake-up signal, the LDSW gateway sends a continuous signal to the LDSW terminal through the base station, and after the LDSW terminal recognizes the continuous signal, two-way communication is established between the LDSW gateway and the base station, and S2 is executed; when the LDSW terminal does not receive the signal, the LDSW terminal is in a dormant state and continuously executes S1;
s2, starting an LDSW terminal, wherein the LDSW terminal sends positioning signals to surrounding base stations, and the base stations send the positioning signals to a central processing unit through an LDSW gateway;
s3, the central processing unit generates positioning of the LDSW terminal;
s4, displaying a positioning picture by a positioning result display module;
specifically, the picture type of the positioning picture is a satellite picture, the satellite picture comprises a base station for calculating the positioning of the LDSW terminal, the LDSW terminal and corresponding position information thereof, the position information is longitude and latitude, wherein the longitude and latitude of the base station are known, and the longitude and latitude of the LDSW terminal can be obtained through the relation between the coordinates of the base station and the longitude and latitude of the base station;
s5, the positioning result encryption module encrypts the positioning picture.
Further, the base station comprises an antenna, a signal processing module, a base station controller and a base station encryption module; the antenna is used for sending and receiving wireless signals so as to communicate with other parts of the artificial intelligent communication positioning system; the signal processing module comprises a modulator and a demodulator and is used for processing information received by the antenna; the base station controller is used for managing the operation of the base station according to the information processed by the signal processing module, wherein the operation comprises resource allocation, user access control and call management; the base station encryption module is used for encrypting communication content of the base station.
Specifically, the antenna may be a single antenna or a multi-antenna system, such as a MIMO (multiple input multiple output) antenna, for improving communication performance, and the encryption unit may be a firewall or an information processing module including an encryption algorithm.
Further, the LDSW terminal comprises a communication module, an LDSW processing module, a power management unit and an external interface, wherein the communication module is used for receiving and transmitting communication content between the LDSW terminal and the base station; the LDSW processing module is used for processing communication data, executing a communication protocol and running an application program; the power supply management unit is used for managing power supply of a power supply; the external interface is used for connecting external equipment.
In particular, the processing module may be a microcontroller or an embedded processor; the external device may be a sensor or a display screen or the like.
Further, the LDSW gateway comprises an LDSW communication protocol stack, a radio frequency adjustment and transmission module, a power consumption management module and an identity verification module; the LDSW communication protocol stack uses a low duty cycle communication mode; the radio frequency adjusting and transmitting module is used for adjusting, transmitting and receiving signals; the power consumption management module is used for managing the power consumption of the LDSW gateway; the identity verification module is used for verifying the identity of the LDSW terminal which communicates with the LDSW gateway.
Further, the central processing unit comprises a preprocessing module, a wake-up signal generating module, a calculating module, a positioning result display module and a positioning result encryption module; the wake-up signal generation module is used for generating a wake-up signal; the preprocessing module is used for preprocessing and reducing noise of a positioning signal sent by the LDSW terminal after receiving the wake-up signal; the computing module comprises an algorithm storage unit, an algorithm execution unit and a computing result storage unit, wherein the algorithm storage unit is used for storing an algorithm, the algorithm execution unit is used for computing the position of the LDSW terminal according to the algorithm stored by the algorithm storage unit and the signal processed by the preprocessing module, and the computing result storage unit is used for storing the computing result of the algorithm execution unit; the positioning result display module is used for generating and displaying positioning pictures according to the calculation result of the algorithm execution unit and satellite diagrams near the base station; the positioning result encryption module is used for encrypting the positioning picture generated by the positioning result display module.
Still further, the calculating module generating the positioning of the LDSW terminal includes the steps of:
s31, acquiring time for a positioning signal sent by an LDSW terminal to reach surrounding base stations, and selecting 3 base stations with shortest time as target base stations;
s32, obtaining the target base stationGenerating a virtual map according to the satellite map, and marking the coordinates of the target base station in the virtual map）、（/>）、（/>）；
S33, obtaining initial coordinates of the LDSW terminal through a Chan algorithm）；
Specifically, the Chan algorithm positioning belongs to the prior art, and is not described in detail herein;
s34, according to Taylor algorithm, the initial coordinates are calculated) Iterative updating is carried out to obtain corrected coordinates (X, Y), wherein the coordinates are the positioning of the LDSW terminal, and the Taylor algorithm is used for the initial coordinates (I)>) The end conditions for performing the iterative update are: (X- & gt & lt/EN & gt)>)+(Y-/>)＜m；
Specifically, the iterative correction positioning of the coordinates by the Taylor algorithm belongs to the prior art, and is not described herein again;
and S35, updating the error threshold m according to the plurality of iteration coordinates of the initial coordinates acquired in the S34 and the errors of the iteration coordinates and the initial coordinates. The error is the deviation between the iterative coordinate and the initial coordinate;
further, updating the error threshold m includes the steps of:
s351, acquiring iteration coordinates and errors thereof of the previous n iterations of the corrected coordinates (X, Y) according to the calculation record;
s352, carrying out n times of iteration on the corrected coordinates (X, Y) according to the updated index value n and the Taylor algorithm, and obtaining iteration coordinates and errors thereof generated in the n times of iteration; i.e., the iteration coordinates and errors of the latter n iterations of the corrected coordinates (X, Y);
specifically, the updated index value is set by a worker in the field, the larger n is, the larger the calculated amount of the calculation module is, but the better the error threshold updating effect is; the value of n is less than half the number of iterations performed in S34;
s353, updating m according to the following formula:
=/>*/>*/>+/>*/>；
=/>；
=/>；
wherein,for the updated error threshold, +.>For the first weight, ++>For the second weight, ++>Maximum error for the first n iterations of the corrected coordinates (X, Y,)>For the minimum error of the last n iterations of the corrected coordinates (X, Y),error generated in the ith iteration proceeding to the corrected coordinates (X, Y), +.>The error generated in the j-th iteration is the corrected coordinate (X, Y).
In particular, whenWhen the error is larger than m, the change speed is higher, and the error threshold value is changed in the direction of smaller error change according to the above formula;
in particular, whenWhen the error is smaller than m, the change speed is faster, and the error threshold value is increased according to the above equation and changed in a direction in which the error change is smaller.
The beneficial effect of this scheme: 1. the LDSW gateway is communicated with the LDSW terminal, so that the communication efficiency is improved, and when positioning is not needed, the LDSW terminal is in a dormant state, the system power consumption is low, and the energy saving is facilitated.
2. The position of the LDSW terminal is initially positioned by using the Chan algorithm, and then the initial positioning result is iteratively updated by using the Taylor algorithm, so that the problem of lower positioning accuracy of the Chan algorithm is solved, and the error is stabilized at a smaller value by continuous iteration, thereby being beneficial to improving the accuracy degree of the calculation result.
3. By acquiring the error of the iterative coordinates near the error threshold and updating the error threshold, the value of the error threshold is close to the part with slower change and lower change amplitude in a plurality of errors, and when the positioning is performed next time, the corrected coordinates (X, Y) are calculated by using the updated error threshold, so that the problem of overlarge difference between the corrected coordinates (X, Y) and the adjacent iterative coordinates is avoided.
Embodiment two: this embodiment should be understood to include all the features of any one of the foregoing embodiments, and be further improved on the basis thereof, according to fig. 4, and further that the positioning result encrypting module encrypts the positioning picture, including the following steps:
s51, FI, a positioning result encryption module defines a function according to the following formula;
X(k+1) = +/>,（k=1,…,v），0</><1；
wherein,is a random initial value, u is a time parameter, a is a first position parameter, and b is a second position parameter; the initial value is a randomly set function value, and the time parameter is a parameter set according to the time acquired by the positioning picture; the first position parameter is a parameter set according to the longitude and latitude of the LDSW terminal; the second position parameter is a parameter set according to coordinates (X, Y) corrected by the LDSW terminal, b=0.5 (x+x)Y); the initial value, the time parameter, the first position parameter and the second position parameter are keys which are required to be input during decryption; x (k) is the function value at the time of the kth iteration; x (k+1) is the function value at which the k+1th iteration is performed; v is the number of iterations.
In particular, the method comprises the steps of,is a randomly set initial value.
Specifically, in the following, u and a are a value, if the acquisition time is 2022, 1 month and 19 days, u is 2.21019; if the longitude and latitude of the LDSW terminal is 104 ° 28'34 "of the east longitude and 20 ° 56'47 of the north latitude, the first location parameter is 0.42834+2.05647= 2.47481.
S52, detecting a positioning picture to obtain a positioning picture with the size of M x N, wherein v=M x N;
s53, obtaining an image setting time parameter and a first position parameter according to image information, and iterating a function X (k+1) v times to obtain a sequence A consisting of X (1) and X (2) … X (k) … X (v);
s54, normalizing the sequence A to an image gray value interval (0,225) to obtain a sequence B;
specifically, the normalization method belongs to the prior art, and is not described in detail herein;
s55, converting the sequence B into a two-dimensional matrix F of M x N;
it should be noted that, the method for converting the one-dimensional sequence into the two-dimensional matrix belongs to the prior art, and will not be described in detail herein;
s56, performing exclusive OR on the element value in the F and the gray value of the gray map of the positioning picture to obtain an encrypted image.
The beneficial effects of this embodiment are: according to the method and the device, the positioning image is processed through the defined function, and the parameters of the function are set according to the corrected coordinates and the longitude and latitude of the LDSW terminal, so that an external person cannot easily decrypt the image, the safety of the image can be effectively improved, unauthorized persons are prevented from acquiring and stealing the image, and the position leakage of the LDSW terminal is avoided.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (5)
1. An LDSW ultra-low power consumption artificial intelligent communication positioning system is characterized by comprising an LDSW terminal, a base station, an LDSW gateway and a central processing unit; the LDSW gateway is used for receiving and processing signals from the base stations and forwarding the signals to the central processing unit through the wireless network, and the central processing unit is used for receiving data transmitted from the LDSW gateway and analyzing and processing the data so as to determine the position of the user terminal;
the LDSW ultra-low power consumption artificial intelligent communication positioning system comprises the following working steps:
s1, a central processing unit receives positioning requirements, a wake-up signal generation module generates a wake-up signal, and the wake-up signal is sent to an LDSW terminal through an LDSW gateway and a base station;
after receiving the wake-up signal, the LDSW gateway sends a continuous signal to the LDSW terminal through the base station, and after the LDSW terminal recognizes the continuous signal, two-way communication is established between the LDSW gateway and the base station, and S2 is executed; when the LDSW terminal does not receive the signal, the LDSW terminal is in a dormant state and continuously executes S1;
s2, starting an LDSW terminal, wherein the LDSW terminal sends positioning signals to surrounding base stations, and the base stations send the positioning signals to a central processing unit through an LDSW gateway;
s3, the central processing unit generates positioning of the LDSW terminal;
s4, displaying a positioning picture by a positioning result display module;
s5, the positioning result encryption module encrypts the positioning picture;
the central processing unit comprises a calculation module, and the calculation module generates the positioning of the LDSW terminal and comprises the following steps:
s31, acquiring time for a positioning signal sent by an LDSW terminal to reach surrounding base stations, and selecting 3 base stations with shortest time as target base stations;
s32, acquiring a satellite map comprising the target base station, generating a virtual map according to the satellite map, and marking the coordinates of the target base station in the virtual map）、（/>）、（/>）；
S33, obtaining initial coordinates of the LDSW terminal through a Chan algorithm）；
S34, according to Taylor algorithm, the initial coordinates are calculated) Iterative updating is carried out to obtain corrected coordinates (X, Y), wherein the coordinates are the positioning of the LDSW terminal, and the Taylor algorithm is used for the initial coordinates (I)>) The end conditions for performing the iterative update are: (X- & gt & lt/EN & gt)>)+(Y-/>)＜m；
S35, updating an error threshold m according to the plurality of iteration coordinates of the initial coordinates obtained in the S34 and errors of the iteration coordinates and the initial coordinates;
wherein updating the error threshold m comprises the steps of:
s351, acquiring iteration coordinates and errors of the previous n iterations of coordinates (X, Y) corrected by a Taylor algorithm according to the calculation record;
s352, carrying out n iterations on the corrected coordinates (X, Y) according to a Taylor algorithm, and obtaining iteration coordinates and errors thereof generated in the n iterations;
s353, updating m according to the following formula:
=/>*/>*/>+/>*/>；
=/>；
=/>；
wherein,for updated errorsThreshold value (S)>For the first weight, ++>For the second weight, ++>Maximum error for the first n iterations of the corrected coordinates (X, Y,)>For the minimum error of the last n iterations of the corrected coordinates (X, Y,)>Error generated in the ith iteration proceeding to the corrected coordinates (X, Y), +.>The error generated in the j-th iteration is the corrected coordinate (X, Y).
2. The LDSW ultra low power consumption artificial intelligent communication positioning system of claim 1, wherein the base station comprises an antenna, a signal processing module, a base station controller and a base station encryption module; the antenna is used for sending and receiving wireless signals so as to communicate with other parts of the artificial intelligent communication positioning system; the signal processing module comprises a modulator and a demodulator and is used for processing information received by the antenna; the base station controller is used for managing the operation of the base station according to the information processed by the signal processing module, wherein the operation comprises resource allocation, user access control and call management; the base station encryption module is used for encrypting communication content of the base station.
3. The LDSW ultra low power consumption artificial intelligent communication positioning system according to claim 2, wherein the LDSW terminal comprises a communication module, an LDSW processing module, a power management unit and an external interface, wherein the communication module is used for receiving and transmitting the communication content with the base station; the LDSW processing module is used for processing communication data, executing a communication protocol and running an application program; the power supply management unit is used for managing power supply of a power supply; the external interface is used for connecting external equipment.
4. The LDSW ultra low power consumption artificial intelligent communication positioning system according to claim 3, wherein the LDSW gateway comprises an LDSW communication protocol stack, a radio frequency adjustment and transmission module, a power consumption management module, and an authentication module; the LDSW communication protocol stack uses a low duty cycle communication mode; the radio frequency adjusting and transmitting module is used for adjusting, transmitting and receiving signals; the power consumption management module is used for managing the power consumption of the LDSW gateway; the identity verification module is used for verifying the identity of the LDSW terminal which communicates with the LDSW gateway.
5. The LDSW ultra low power consumption artificial intelligent communication positioning system according to claim 4, wherein the central processing unit comprises a preprocessing module, a wake-up signal generating module, a calculating module, a positioning result display module and a positioning result encrypting module; the wake-up signal generation module is used for generating a wake-up signal; the preprocessing module is used for preprocessing and reducing noise of the positioning signal after the LDSW terminal receives the wake-up signal; the computing module comprises an algorithm storage unit, an algorithm execution unit and a computing result storage unit, wherein the algorithm storage unit is used for storing an algorithm, the algorithm execution unit is used for computing the position of the LDSW terminal according to the algorithm stored by the algorithm storage unit and the signal processed by the preprocessing module, and the computing result storage unit is used for storing the computing result of the algorithm execution unit; the positioning result display module is used for generating and displaying positioning pictures according to the calculation result of the algorithm execution unit and satellite diagrams near the base station; the positioning result encryption module is used for encrypting the positioning picture generated by the positioning result display module.
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| CN102291817A (en) * | 2011-07-11 | 2011-12-21 | 北京邮电大学 | Group positioning method based on location measurement sample in mobile communication network |
| CN112285645A (en) * | 2020-12-25 | 2021-01-29 | 中国人民解放军国防科技大学 | Positioning method, storage medium and system based on high-orbit satellite observation platform |
| CN114245334A (en) * | 2021-12-16 | 2022-03-25 | 西南交通大学 | Ultra-wideband indoor positioning algorithm integrating error-calculable map and gray wolf optimization |
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| CN102291817A (en) * | 2011-07-11 | 2011-12-21 | 北京邮电大学 | Group positioning method based on location measurement sample in mobile communication network |
| CN112285645A (en) * | 2020-12-25 | 2021-01-29 | 中国人民解放军国防科技大学 | Positioning method, storage medium and system based on high-orbit satellite observation platform |
| CN114245334A (en) * | 2021-12-16 | 2022-03-25 | 西南交通大学 | Ultra-wideband indoor positioning algorithm integrating error-calculable map and gray wolf optimization |
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