Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm

Based on the active interference suppression algorithm, this study combines the radar working mode and the interference type and realizes the effective detection of the flaw detection signal by successively processing the radar receiving signal and the filtering processing. Firstly, this article bui...

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Main Author: Wenping Wu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/5005552
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author Wenping Wu
author_facet Wenping Wu
author_sort Wenping Wu
collection DOAJ
description Based on the active interference suppression algorithm, this study combines the radar working mode and the interference type and realizes the effective detection of the flaw detection signal by successively processing the radar receiving signal and the filtering processing. Firstly, this article builds a simulation platform similar to the actual situation to verify the existing conventional active interference suppression algorithms. Secondly, for the detection of chirp active deception jamming signals entering from the main lobe, a radar active deception jamming detection method based on the characteristic parameter matching of the harmonic components of active deception jamming signals is proposed. After that, the spectral characteristics of the harmonic components of the deception interference signal are analyzed, and the center frequency and the tuning frequency of the real target echo are obtained. Finally, by establishing a frequency modulation parameter library for possible interference harmonic signal components, the acquisition phase of the radar gate by the jammer matched analysis with the preestablished frequency modulation parameter library is implemented to achieve active deception interference detection. This method can effectively detect active deception jamming signals in a complex tunnel environment. The interference suppression algorithms verified by simulation include noise FM interference suppression algorithm based on cancellation and distance false target interference suppression algorithm based on LFM radar summary processing. Through actual measurement data processing and analysis, the effectiveness of the method is verified and the idea of interference suppression is expanded. The construction of the simulation platform is obtained by appropriately modifying the actual parameters, a certain type of suppression jammer, and a certain type of deception jammer used in a certain countermeasure field test at a radar station.
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spelling doaj-art-90c9ff10cd664344b6c94b321a1cda612025-02-03T01:26:55ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/5005552Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression AlgorithmWenping Wu0Information Engineering DepartmentBased on the active interference suppression algorithm, this study combines the radar working mode and the interference type and realizes the effective detection of the flaw detection signal by successively processing the radar receiving signal and the filtering processing. Firstly, this article builds a simulation platform similar to the actual situation to verify the existing conventional active interference suppression algorithms. Secondly, for the detection of chirp active deception jamming signals entering from the main lobe, a radar active deception jamming detection method based on the characteristic parameter matching of the harmonic components of active deception jamming signals is proposed. After that, the spectral characteristics of the harmonic components of the deception interference signal are analyzed, and the center frequency and the tuning frequency of the real target echo are obtained. Finally, by establishing a frequency modulation parameter library for possible interference harmonic signal components, the acquisition phase of the radar gate by the jammer matched analysis with the preestablished frequency modulation parameter library is implemented to achieve active deception interference detection. This method can effectively detect active deception jamming signals in a complex tunnel environment. The interference suppression algorithms verified by simulation include noise FM interference suppression algorithm based on cancellation and distance false target interference suppression algorithm based on LFM radar summary processing. Through actual measurement data processing and analysis, the effectiveness of the method is verified and the idea of interference suppression is expanded. The construction of the simulation platform is obtained by appropriately modifying the actual parameters, a certain type of suppression jammer, and a certain type of deception jammer used in a certain countermeasure field test at a radar station.http://dx.doi.org/10.1155/2021/5005552
spellingShingle Wenping Wu
Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm
Discrete Dynamics in Nature and Society
title Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm
title_full Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm
title_fullStr Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm
title_full_unstemmed Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm
title_short Characteristic Parameter Optimization of Wireless Flaw Sensing System Based on Active Interference Suppression Algorithm
title_sort characteristic parameter optimization of wireless flaw sensing system based on active interference suppression algorithm
url http://dx.doi.org/10.1155/2021/5005552
work_keys_str_mv AT wenpingwu characteristicparameteroptimizationofwirelessflawsensingsystembasedonactiveinterferencesuppressionalgorithm