Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar
Digital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due to its capability to intercept waveforms within a short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses to combat...
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| Format: | Article |
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MDPI AG
2024-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/12/6/903 |
| _version_ | 1797240166794919936 |
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| author | Tianqu Liu Jinping Sun Guohua Wang Xianxun Yao Yaqiong Qiao |
| author_facet | Tianqu Liu Jinping Sun Guohua Wang Xianxun Yao Yaqiong Qiao |
| author_sort | Tianqu Liu |
| collection | DOAJ |
| description | Digital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due to its capability to intercept waveforms within a short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses to combat DRFM-based jamming, where any two groups of waveform sets are also orthogonal. In this article, a group orthogonal waveform optimal design model is formulated in order to combat DRFM-based jamming by flexibly designing waveforms for MIMO radars. Aiming at balancing the intra- and intergroup orthogonal performances, the objective function is defined as the weighted sum of the intra- and intergroup orthogonal performance metrics. To solve the formulated model, in this article, a group orthogonal waveform design algorithm is proposed. Based on a primal-dual-type method and proper relaxations, the proposed algorithm transforms the original problem into a series of simple subproblems. Numerical results demonstrate that the obtained group orthogonal waveforms have the ability to flexibly suppress DRFM-based deceptive jamming, which is not achievable using <i>p</i>-majorization–minimization (<i>p</i>-MM) and primal-dual, two of the most advanced orthogonal waveform design algorithms. |
| first_indexed | 2024-04-24T18:03:07Z |
| format | Article |
| id | doaj.art-dcc6a0ce71ad414bba54b66c64d32e7a |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-04-24T18:03:07Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-dcc6a0ce71ad414bba54b66c64d32e7a2024-03-27T13:53:16ZengMDPI AGMathematics2227-73902024-03-0112690310.3390/math12060903Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO RadarTianqu Liu0Jinping Sun1Guohua Wang2Xianxun Yao3Yaqiong Qiao4School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaHertzwell Pte Ltd., Singapore 138565, SingaporeSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaDigital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due to its capability to intercept waveforms within a short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses to combat DRFM-based jamming, where any two groups of waveform sets are also orthogonal. In this article, a group orthogonal waveform optimal design model is formulated in order to combat DRFM-based jamming by flexibly designing waveforms for MIMO radars. Aiming at balancing the intra- and intergroup orthogonal performances, the objective function is defined as the weighted sum of the intra- and intergroup orthogonal performance metrics. To solve the formulated model, in this article, a group orthogonal waveform design algorithm is proposed. Based on a primal-dual-type method and proper relaxations, the proposed algorithm transforms the original problem into a series of simple subproblems. Numerical results demonstrate that the obtained group orthogonal waveforms have the ability to flexibly suppress DRFM-based deceptive jamming, which is not achievable using <i>p</i>-majorization–minimization (<i>p</i>-MM) and primal-dual, two of the most advanced orthogonal waveform design algorithms.https://www.mdpi.com/2227-7390/12/6/903waveform designoptimizationMIMO radargroup orthogonalphase-codedradar countermeasures |
| spellingShingle | Tianqu Liu Jinping Sun Guohua Wang Xianxun Yao Yaqiong Qiao Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar Mathematics waveform design optimization MIMO radar group orthogonal phase-coded radar countermeasures |
| title | Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar |
| title_full | Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar |
| title_fullStr | Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar |
| title_full_unstemmed | Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar |
| title_short | Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar |
| title_sort | optimal design of group orthogonal phase coded waveforms for mimo radar |
| topic | waveform design optimization MIMO radar group orthogonal phase-coded radar countermeasures |
| url | https://www.mdpi.com/2227-7390/12/6/903 |
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