Detection of Unresolved Targets for Wideband Monopulse Radar

Detecting unresolved targets is very important for radars in their target tracking phase. For wideband radars, the unresolved target detection algorithm should be fast and adaptive to different bandwidths. To meet the requirements, a detection algorithm for wideband monopulse radars is proposed, whi...

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Main Authors: Tianyi Tsai, Zhiqiang Liao, Zhiquan Ding, Yuan Zhao, Bin Tang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/19/5/1084
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author Tianyi Tsai
Zhiqiang Liao
Zhiquan Ding
Yuan Zhao
Bin Tang
author_facet Tianyi Tsai
Zhiqiang Liao
Zhiquan Ding
Yuan Zhao
Bin Tang
author_sort Tianyi Tsai
collection DOAJ
description Detecting unresolved targets is very important for radars in their target tracking phase. For wideband radars, the unresolved target detection algorithm should be fast and adaptive to different bandwidths. To meet the requirements, a detection algorithm for wideband monopulse radars is proposed, which can detect unresolved targets for each range profile sampling points. The algorithm introduces the Gaussian mixture model and uses a priori information to achieve high performance while keeping a low computational load, adaptive to different bandwidths. A comparison between the proposed algorithm and the latest unresolved target detection algorithm Joint Multiple Bin Processing Generalized Likelihood Ratio Test (JMBP GLRT) is carried out by simulation. On Rayleigh distributed echoes, the detection probability of the proposed algorithm is at most 0.5456 higher than the JMBP GLRT for different signal-to-noise ratios (SNRs), while the computation time of the proposed algorithm is no more than two 10,000ths of the JMBP GLRT computation time. On bimodal distributed echoes, the detection probability of the proposed algorithm is at most 0.7933 higher than the JMBP GLRT for different angular separations of two unresolved targets, while the computation time of the proposed algorithm is no more than one 10,000th of the JMBP GLRT computation time. To evaluate the performance of the proposed algorithm in a real wideband radar, an experiment on field test measured data was carried out, in which the proposed algorithm was compared with Blair GLRT. The results show that the proposed algorithm produces a higher detection probability and lower false alarm rate, and completes detections on a range profile within 0.22 ms.
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spelling doaj.art-d30f1c0a070c47218e186373f8873f782022-12-22T02:57:09ZengMDPI AGSensors1424-82202019-03-01195108410.3390/s19051084s19051084Detection of Unresolved Targets for Wideband Monopulse RadarTianyi Tsai0Zhiqiang Liao1Zhiquan Ding2Yuan Zhao3Bin Tang4Research and Development Department, Sichuan Institute of Aerospace Electronics of China, No. 105, Yiduzhong Road, Chengdu 610100, ChinaResearch and Development Department, Sichuan Institute of Aerospace Electronics of China, No. 105, Yiduzhong Road, Chengdu 610100, ChinaResearch and Development Department, Sichuan Institute of Aerospace Electronics of China, No. 105, Yiduzhong Road, Chengdu 610100, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, ChinaDetecting unresolved targets is very important for radars in their target tracking phase. For wideband radars, the unresolved target detection algorithm should be fast and adaptive to different bandwidths. To meet the requirements, a detection algorithm for wideband monopulse radars is proposed, which can detect unresolved targets for each range profile sampling points. The algorithm introduces the Gaussian mixture model and uses a priori information to achieve high performance while keeping a low computational load, adaptive to different bandwidths. A comparison between the proposed algorithm and the latest unresolved target detection algorithm Joint Multiple Bin Processing Generalized Likelihood Ratio Test (JMBP GLRT) is carried out by simulation. On Rayleigh distributed echoes, the detection probability of the proposed algorithm is at most 0.5456 higher than the JMBP GLRT for different signal-to-noise ratios (SNRs), while the computation time of the proposed algorithm is no more than two 10,000ths of the JMBP GLRT computation time. On bimodal distributed echoes, the detection probability of the proposed algorithm is at most 0.7933 higher than the JMBP GLRT for different angular separations of two unresolved targets, while the computation time of the proposed algorithm is no more than one 10,000th of the JMBP GLRT computation time. To evaluate the performance of the proposed algorithm in a real wideband radar, an experiment on field test measured data was carried out, in which the proposed algorithm was compared with Blair GLRT. The results show that the proposed algorithm produces a higher detection probability and lower false alarm rate, and completes detections on a range profile within 0.22 ms.http://www.mdpi.com/1424-8220/19/5/1084wideband monopulse radarunresolved targetsGaussian mixture model
spellingShingle Tianyi Tsai
Zhiqiang Liao
Zhiquan Ding
Yuan Zhao
Bin Tang
Detection of Unresolved Targets for Wideband Monopulse Radar
Sensors
wideband monopulse radar
unresolved targets
Gaussian mixture model
title Detection of Unresolved Targets for Wideband Monopulse Radar
title_full Detection of Unresolved Targets for Wideband Monopulse Radar
title_fullStr Detection of Unresolved Targets for Wideband Monopulse Radar
title_full_unstemmed Detection of Unresolved Targets for Wideband Monopulse Radar
title_short Detection of Unresolved Targets for Wideband Monopulse Radar
title_sort detection of unresolved targets for wideband monopulse radar
topic wideband monopulse radar
unresolved targets
Gaussian mixture model
url http://www.mdpi.com/1424-8220/19/5/1084
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AT yuanzhao detectionofunresolvedtargetsforwidebandmonopulseradar
AT bintang detectionofunresolvedtargetsforwidebandmonopulseradar