PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid
Many new challenges are faced by the PBR (passive bi-static radar) employing non-cooperative radar illuminators. After the CFAR (constant false alarm) processor, the appearance of the amount of false alarm clutter points impacts the following tracing performance. To enhance the PBR tracing performan...
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MDPI AG
2019-06-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/8/6/708 |
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author | Qian Zhu Tao Li Jiameng Pan Qinglong Bao |
author_facet | Qian Zhu Tao Li Jiameng Pan Qinglong Bao |
author_sort | Qian Zhu |
collection | DOAJ |
description | Many new challenges are faced by the PBR (passive bi-static radar) employing non-cooperative radar illuminators. After the CFAR (constant false alarm) processor, the appearance of the amount of false alarm clutter points impacts the following tracing performance. To enhance the PBR tracing performance, we consider to reduce these clutter points before target tracing as soon as possible. In this paper, we propose a PBR clutter suppression algorithm based on dilation morphology of non-uniform grid. Firstly, we construct the non-uniform polar grid based on the acquisition geometry of PBR. Then, with the help of the grid platform, we separate the false alarm clutter points based on the dilation morphology. To efficiently operate the algorithm, we build up its parallel iteration scheme. To verify the performance of the proposed algorithm, we utilize both simulated data and field data to do the experiment. Experimental results show that the algorithm can effectively suppress most of the clutter points. Besides, we respectively combine the proposed suppression algorithm with two typical tracking algorithms to test the performance. Experimental results reveal that the compound tracing algorithm outperforms the traditional one. It can enhance the PBR tracing performance, reduce the occurrence probability of false tracks and meanwhile save time. |
first_indexed | 2024-04-11T11:06:36Z |
format | Article |
id | doaj.art-a41bf75c4ecf42988801535ef836e94e |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-11T11:06:36Z |
publishDate | 2019-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-a41bf75c4ecf42988801535ef836e94e2022-12-22T04:28:16ZengMDPI AGElectronics2079-92922019-06-018670810.3390/electronics8060708electronics8060708PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform GridQian Zhu0Tao Li1Jiameng Pan2Qinglong Bao3Science and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410072, ChinaArtificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), Beijing 100071, ChinaScience and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410072, ChinaScience and Technology on Automatic Target Recognition Laboratory, National University of Defense Technology, Changsha 410072, ChinaMany new challenges are faced by the PBR (passive bi-static radar) employing non-cooperative radar illuminators. After the CFAR (constant false alarm) processor, the appearance of the amount of false alarm clutter points impacts the following tracing performance. To enhance the PBR tracing performance, we consider to reduce these clutter points before target tracing as soon as possible. In this paper, we propose a PBR clutter suppression algorithm based on dilation morphology of non-uniform grid. Firstly, we construct the non-uniform polar grid based on the acquisition geometry of PBR. Then, with the help of the grid platform, we separate the false alarm clutter points based on the dilation morphology. To efficiently operate the algorithm, we build up its parallel iteration scheme. To verify the performance of the proposed algorithm, we utilize both simulated data and field data to do the experiment. Experimental results show that the algorithm can effectively suppress most of the clutter points. Besides, we respectively combine the proposed suppression algorithm with two typical tracking algorithms to test the performance. Experimental results reveal that the compound tracing algorithm outperforms the traditional one. It can enhance the PBR tracing performance, reduce the occurrence probability of false tracks and meanwhile save time.https://www.mdpi.com/2079-9292/8/6/708PBR (passive bistatic radar)clutter suppressionnon-uniform griddilation morphology |
spellingShingle | Qian Zhu Tao Li Jiameng Pan Qinglong Bao PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid Electronics PBR (passive bistatic radar) clutter suppression non-uniform grid dilation morphology |
title | PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid |
title_full | PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid |
title_fullStr | PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid |
title_full_unstemmed | PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid |
title_short | PBR Clutter Suppression Algorithm Based on Dilation Morphology of Non-Uniform Grid |
title_sort | pbr clutter suppression algorithm based on dilation morphology of non uniform grid |
topic | PBR (passive bistatic radar) clutter suppression non-uniform grid dilation morphology |
url | https://www.mdpi.com/2079-9292/8/6/708 |
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