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NLOS signal identification method and system

A signal identification and signal technology, applied in the field of signal processing, can solve the problems of identifying NLOS signals, lack of effective algorithms, and stay in the stage of theoretical analysis, etc., to achieve high classification accuracy and improve accuracy

Active Publication Date: 2022-07-12
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In summary, most of the traditional technologies stay at the stage of theoretical analysis, and there is no effective algorithm that can accurately identify NLOS signals

Method used

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  • NLOS signal identification method and system
  • NLOS signal identification method and system
  • NLOS signal identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Example 1: Measured effect display

[0096] Data set collection environment:

[0097] In the test environment of 5000mm*5000mm*3000mm, place UWB anchors at four corners A0, A1, A2, and A3, respectively, and the anchors send signals in all directions. Tag is the UWB tag (target), that is, the target that needs to be located (only within the test environment). The Tag receives the signals of 4 UWB anchor points (regardless of whether the signal interferes, the Tag can generally receive the signal), and uses the TOF technology to calculate the corresponding 4 distance data respectively.

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Abstract

The invention discloses an NLOS signal identification method and system, and the method comprises the steps: carrying out the classification of a large amount of data sets through a self-organizing mapping algorithm SOM, and carrying out the recognition training and signal identification through a CNN, thereby accurately completing the identification of an NLOS signal. Wherein the data set for neural network training of the SOM comprises a non-line-of-sight transmission signal NLOS data set, a line-of-sight transmission signal LOS data set and an NLOS-LOS data set, and the NLOS-LOS data set comprises NLOS-LOS data subsets with different initial values and sample numbers, so that the classification precision of neural network training of the SOM can be higher.

Description

technical field [0001] The present invention relates to the technical field of signal processing, in particular to a method and system for identifying an NLOS signal. Background technique [0002] Common indoor positioning technologies are mainly based on wireless local area network, radio frequency tags, ZigBee technology, Bluetooth technology and infrared technology, etc. However, these technologies are easily affected by various noise signals and indoor environment, and their positioning accuracy is easily affected by complex indoor environment. influences. The positioning technology based on Ultra-Wideband (UWB) has the advantages of strong signal penetration ability, strong anti-multipath ability, high time resolution, and high positioning accuracy, and can reach centimeter-level or even millimeter-level positioning. The accurate positioning of UWB indoors will play an excellent supplementary role to satellite navigation. It has achieved good development in recent year...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/088G06N3/084G06N3/045G06F2218/12G06F18/213Y02D30/70
Inventor 高泽夫焦义文杨文革马宏吴涛李冬毛飞龙李超孙宽飞周扬滕飞陈雨迪卢志伟王育欣司一童
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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