WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications
There are many unavoidable array errors in practical scenarios, which would drastically increase the sidelobe level (SLL) and distort the performance of radar systems accordingly. In this paper, an effective beampattern synthesis approach is proposed to realize a low peak sidelobe level (PSLL) and w...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/17/4204 |
| _version_ | 1827665135022374912 |
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| author | Yanhong Xu Dongyun Wang Anyi Wang Yan Yan |
| author_facet | Yanhong Xu Dongyun Wang Anyi Wang Yan Yan |
| author_sort | Yanhong Xu |
| collection | DOAJ |
| description | There are many unavoidable array errors in practical scenarios, which would drastically increase the sidelobe level (SLL) and distort the performance of radar systems accordingly. In this paper, an effective beampattern synthesis approach is proposed to realize a low peak sidelobe level (PSLL) and wide-nulling in the presence of array errors, thus improving the consequent performance of the radar. In particular, the covariance matrix of the sidelobe region (CMSR) is incorporated into the optimization. Considering the randomness of array errors, the statistical mean method is adopted to obtain a more accurate calculation of the CMSR in the presence of array errors based on a Monte Carlo trial. To efficiently and effectively solve the optimization problem, an advanced metaheuristic algorithm, i.e., the water cycle algorithm (WCA), is adopted when seeking the corresponding optimal weight vectors. Numerical results are provided and discussed to demonstrate the effectiveness of the proposed approach including the results based on a wideband linearly spaced magneto-electric (ME) dipole array. |
| first_indexed | 2024-03-10T01:19:12Z |
| format | Article |
| id | doaj.art-9c6fca1026e14f46a546cac5527e43d0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T01:19:12Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9c6fca1026e14f46a546cac5527e43d02023-11-23T14:02:41ZengMDPI AGRemote Sensing2072-42922022-08-011417420410.3390/rs14174204WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar ApplicationsYanhong Xu0Dongyun Wang1Anyi Wang2Yan Yan3School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaThere are many unavoidable array errors in practical scenarios, which would drastically increase the sidelobe level (SLL) and distort the performance of radar systems accordingly. In this paper, an effective beampattern synthesis approach is proposed to realize a low peak sidelobe level (PSLL) and wide-nulling in the presence of array errors, thus improving the consequent performance of the radar. In particular, the covariance matrix of the sidelobe region (CMSR) is incorporated into the optimization. Considering the randomness of array errors, the statistical mean method is adopted to obtain a more accurate calculation of the CMSR in the presence of array errors based on a Monte Carlo trial. To efficiently and effectively solve the optimization problem, an advanced metaheuristic algorithm, i.e., the water cycle algorithm (WCA), is adopted when seeking the corresponding optimal weight vectors. Numerical results are provided and discussed to demonstrate the effectiveness of the proposed approach including the results based on a wideband linearly spaced magneto-electric (ME) dipole array.https://www.mdpi.com/2072-4292/14/17/4204beampattern synthesisarray errorslow peak sidelobe level (PSLL)wide-nullingwater cycle algorithm (WCA)covariance matrix of sidelobe region (CMSR) |
| spellingShingle | Yanhong Xu Dongyun Wang Anyi Wang Yan Yan WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications Remote Sensing beampattern synthesis array errors low peak sidelobe level (PSLL) wide-nulling water cycle algorithm (WCA) covariance matrix of sidelobe region (CMSR) |
| title | WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications |
| title_full | WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications |
| title_fullStr | WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications |
| title_full_unstemmed | WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications |
| title_short | WCA-Based Low-PSLL and Wide-Nulling Beampattern Synthesis for Radar Applications |
| title_sort | wca based low psll and wide nulling beampattern synthesis for radar applications |
| topic | beampattern synthesis array errors low peak sidelobe level (PSLL) wide-nulling water cycle algorithm (WCA) covariance matrix of sidelobe region (CMSR) |
| url | https://www.mdpi.com/2072-4292/14/17/4204 |
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