Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar
Since there is a frequency offset between each adjacent antenna of FDA radar, there exists angle-range two-dimensional dependence in the transmitter. For bistatic FDA-multiple input multiple output (MIMO) radar, range-direction of departure (DOD)-direction of arrival (DOA) information is coupled in...
| Main Authors: | , , , , |
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| Format: | Article |
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/5/1192 |
| _version_ | 1797614477916504064 |
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| author | Yuehao Guo Xianpeng Wang Jinmei Shi Lu Sun Xiang Lan |
| author_facet | Yuehao Guo Xianpeng Wang Jinmei Shi Lu Sun Xiang Lan |
| author_sort | Yuehao Guo |
| collection | DOAJ |
| description | Since there is a frequency offset between each adjacent antenna of FDA radar, there exists angle-range two-dimensional dependence in the transmitter. For bistatic FDA-multiple input multiple output (MIMO) radar, range-direction of departure (DOD)-direction of arrival (DOA) information is coupled in transmitting the steering vector. How to decouple the three information has become the focus of research. Aiming at the issue of target parameter estimation of bistatic FDA-MIMO radar, a real-valued parameter estimation algorithm based on high-order-singular value decomposition (HOSVD) is developed. Firstly, for decoupling DOD and range in transmitter, it is necessary to divide the transmitter into subarrays. Then, the forward–backward averaging and unitary transformation techniques are utilized to convert complex-valued data into real-valued data. The signal subspace is obtained by HOSVD, and the two-dimensional spatial spectral function is constructed. Secondly, the dimension of spatial spectrum is reduced by the Lagrange algorithm, so that it is only related to DOA, and the DOA estimation is obtained. Then the frequency increment between subarrays is used to decouple the DOD and range information, and eliminate the phase ambiguity at the same time. Finally, the DOD and range estimation automatically matched with DOA estimation are obtained. The proposed algorithm uses the multidimensional structure of high-dimensional data to promote performance. Meanwhile, the proposed real-valued tensor-based method can effectively cut down the computing time. Simulation results verify the high efficiency of the developed method. |
| first_indexed | 2024-03-11T07:12:34Z |
| format | Article |
| id | doaj.art-e30fa581154f4f9784202df861c97f3c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T07:12:34Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-e30fa581154f4f9784202df861c97f3c2023-11-17T08:29:39ZengMDPI AGRemote Sensing2072-42922023-02-01155119210.3390/rs15051192Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO RadarYuehao Guo0Xianpeng Wang1Jinmei Shi2Lu Sun3Xiang Lan4School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaSchool of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaCollege of Information Engineering, Hainan Vocational University of Science and Technology, Haikou 571158, ChinaDepartment of Communication Engineering, Institute of Information Science Technology, Dalian Maritime University, Dalian 116026, ChinaSchool of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaSince there is a frequency offset between each adjacent antenna of FDA radar, there exists angle-range two-dimensional dependence in the transmitter. For bistatic FDA-multiple input multiple output (MIMO) radar, range-direction of departure (DOD)-direction of arrival (DOA) information is coupled in transmitting the steering vector. How to decouple the three information has become the focus of research. Aiming at the issue of target parameter estimation of bistatic FDA-MIMO radar, a real-valued parameter estimation algorithm based on high-order-singular value decomposition (HOSVD) is developed. Firstly, for decoupling DOD and range in transmitter, it is necessary to divide the transmitter into subarrays. Then, the forward–backward averaging and unitary transformation techniques are utilized to convert complex-valued data into real-valued data. The signal subspace is obtained by HOSVD, and the two-dimensional spatial spectral function is constructed. Secondly, the dimension of spatial spectrum is reduced by the Lagrange algorithm, so that it is only related to DOA, and the DOA estimation is obtained. Then the frequency increment between subarrays is used to decouple the DOD and range information, and eliminate the phase ambiguity at the same time. Finally, the DOD and range estimation automatically matched with DOA estimation are obtained. The proposed algorithm uses the multidimensional structure of high-dimensional data to promote performance. Meanwhile, the proposed real-valued tensor-based method can effectively cut down the computing time. Simulation results verify the high efficiency of the developed method.https://www.mdpi.com/2072-4292/15/5/1192bistatic FDA-MIMO radarunitary transformation techniqueHOSVDDOA-DOD-range estimation |
| spellingShingle | Yuehao Guo Xianpeng Wang Jinmei Shi Lu Sun Xiang Lan Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar Remote Sensing bistatic FDA-MIMO radar unitary transformation technique HOSVD DOA-DOD-range estimation |
| title | Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar |
| title_full | Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar |
| title_fullStr | Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar |
| title_full_unstemmed | Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar |
| title_short | Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar |
| title_sort | target parameter estimation algorithm based on real valued hosvd for bistatic fda mimo radar |
| topic | bistatic FDA-MIMO radar unitary transformation technique HOSVD DOA-DOD-range estimation |
| url | https://www.mdpi.com/2072-4292/15/5/1192 |
| work_keys_str_mv | AT yuehaoguo targetparameterestimationalgorithmbasedonrealvaluedhosvdforbistaticfdamimoradar AT xianpengwang targetparameterestimationalgorithmbasedonrealvaluedhosvdforbistaticfdamimoradar AT jinmeishi targetparameterestimationalgorithmbasedonrealvaluedhosvdforbistaticfdamimoradar AT lusun targetparameterestimationalgorithmbasedonrealvaluedhosvdforbistaticfdamimoradar AT xianglan targetparameterestimationalgorithmbasedonrealvaluedhosvdforbistaticfdamimoradar |