ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling
In this paper, we focus on the problem of two-dimensional direction of arrival (2D-DOA) estimation for monostatic MIMO Radar with electromagnetic vector received sensors (MIMO-EMVSs) under the condition of gain and phase uncertainties (GPU) and mutual coupling (MC). GPU would spoil the invariance pr...
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| Format: | Article |
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MDPI AG
2017-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/11/2457 |
| _version_ | 1798042387772080128 |
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| author | Dong Zhang Yongshun Zhang Guimei Zheng Cunqian Feng Jun Tang |
| author_facet | Dong Zhang Yongshun Zhang Guimei Zheng Cunqian Feng Jun Tang |
| author_sort | Dong Zhang |
| collection | DOAJ |
| description | In this paper, we focus on the problem of two-dimensional direction of arrival (2D-DOA) estimation for monostatic MIMO Radar with electromagnetic vector received sensors (MIMO-EMVSs) under the condition of gain and phase uncertainties (GPU) and mutual coupling (MC). GPU would spoil the invariance property of the EMVSs in MIMO-EMVSs, thus the effective ESPRIT algorithm unable to be used directly. Then we put forward a C-SPD ESPRIT-like algorithm. It estimates the 2D-DOA and polarization station angle (PSA) based on the instrumental sensors method (ISM). The C-SPD ESPRIT-like algorithm can obtain good angle estimation accuracy without knowing the GPU. Furthermore, it can be applied to arbitrary array configuration and has low complexity for avoiding the angle searching procedure. When MC and GPU exist together between the elements of EMVSs, in order to make our algorithm feasible, we derive a class of separated electromagnetic vector receiver and give the S-SPD ESPRIT-like algorithm. It can solve the problem of GPU and MC efficiently. And the array configuration can be arbitrary. The effectiveness of our proposed algorithms is verified by the simulation result. |
| first_indexed | 2024-04-11T22:34:47Z |
| format | Article |
| id | doaj.art-65f5f8ab464d477fa2bbea3ef2605e6e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:34:47Z |
| publishDate | 2017-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-65f5f8ab464d477fa2bbea3ef2605e6e2022-12-22T03:59:14ZengMDPI AGSensors1424-82202017-10-011711245710.3390/s17112457s17112457ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual CouplingDong Zhang0Yongshun Zhang1Guimei Zheng2Cunqian Feng3Jun Tang4Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaIn this paper, we focus on the problem of two-dimensional direction of arrival (2D-DOA) estimation for monostatic MIMO Radar with electromagnetic vector received sensors (MIMO-EMVSs) under the condition of gain and phase uncertainties (GPU) and mutual coupling (MC). GPU would spoil the invariance property of the EMVSs in MIMO-EMVSs, thus the effective ESPRIT algorithm unable to be used directly. Then we put forward a C-SPD ESPRIT-like algorithm. It estimates the 2D-DOA and polarization station angle (PSA) based on the instrumental sensors method (ISM). The C-SPD ESPRIT-like algorithm can obtain good angle estimation accuracy without knowing the GPU. Furthermore, it can be applied to arbitrary array configuration and has low complexity for avoiding the angle searching procedure. When MC and GPU exist together between the elements of EMVSs, in order to make our algorithm feasible, we derive a class of separated electromagnetic vector receiver and give the S-SPD ESPRIT-like algorithm. It can solve the problem of GPU and MC efficiently. And the array configuration can be arbitrary. The effectiveness of our proposed algorithms is verified by the simulation result.https://www.mdpi.com/1424-8220/17/11/24572D-DOAMIMO radarelectromagnetic vector received sensorsgain and phase uncertaintiesmutual coupling |
| spellingShingle | Dong Zhang Yongshun Zhang Guimei Zheng Cunqian Feng Jun Tang ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling Sensors 2D-DOA MIMO radar electromagnetic vector received sensors gain and phase uncertainties mutual coupling |
| title | ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling |
| title_full | ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling |
| title_fullStr | ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling |
| title_full_unstemmed | ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling |
| title_short | ESPRIT-Like Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors under the Condition of Gain and Phase Uncertainties and Mutual Coupling |
| title_sort | esprit like two dimensional doa estimation for monostatic mimo radar with electromagnetic vector received sensors under the condition of gain and phase uncertainties and mutual coupling |
| topic | 2D-DOA MIMO radar electromagnetic vector received sensors gain and phase uncertainties mutual coupling |
| url | https://www.mdpi.com/1424-8220/17/11/2457 |
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