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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MDPI AG
2019-03-01
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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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issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T06:59:14Z |
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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 |
work_keys_str_mv | AT tianyitsai detectionofunresolvedtargetsforwidebandmonopulseradar AT zhiqiangliao detectionofunresolvedtargetsforwidebandmonopulseradar AT zhiquanding detectionofunresolvedtargetsforwidebandmonopulseradar AT yuanzhao detectionofunresolvedtargetsforwidebandmonopulseradar AT bintang detectionofunresolvedtargetsforwidebandmonopulseradar |