A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar
A novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/3/827 |
| _version_ | 1817996995187441664 |
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| author | Feilong Liu Xianpeng Wang Mengxing Huang Liangtian Wan Huafei Wang Bin Zhang |
| author_facet | Feilong Liu Xianpeng Wang Mengxing Huang Liangtian Wan Huafei Wang Bin Zhang |
| author_sort | Feilong Liu |
| collection | DOAJ |
| description | A novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing the property of Centro-Hermitian of the received data, the extended real-valued data is constructed to improve estimation accuracy and reduce computational complexity via unitary transformation. Then, to avoid the coupling between the angle and range in the transmitting array steering vector, the DOA is estimated by using the rotation invariance of the receiving subarrays. Thereafter, an automatic pairing method is applied to estimate the range of the target. Since phase ambiguity is caused by the phase periodicity of the transmitting array steering vector, a removal method of phase ambiguity is proposed. Finally, the expression of Cramér−Rao Bound (CRB) is derived and the computational complexity of the proposed algorithm is compared with the ESPRIT algorithm. The effectiveness of the proposed algorithm is verified by simulation results. |
| first_indexed | 2024-04-14T02:30:35Z |
| format | Article |
| id | doaj.art-ffc5dcb973034109b26e02483540f252 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T02:30:35Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ffc5dcb973034109b26e02483540f2522022-12-22T02:17:42ZengMDPI AGSensors1424-82202020-02-0120382710.3390/s20030827s20030827A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO RadarFeilong Liu0Xianpeng Wang1Mengxing Huang2Liangtian Wan3Huafei Wang4Bin Zhang5State Key Laboratory of Marine Resource Utilization in South China Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaKey Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology, Dalian 116620, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea and School of Information and Communication Engineering, Hainan University, Haikou 570228, ChinaDepartment of Mechanical Engineering, Kanagawa University, 3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama 221-8686, JapanA novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing the property of Centro-Hermitian of the received data, the extended real-valued data is constructed to improve estimation accuracy and reduce computational complexity via unitary transformation. Then, to avoid the coupling between the angle and range in the transmitting array steering vector, the DOA is estimated by using the rotation invariance of the receiving subarrays. Thereafter, an automatic pairing method is applied to estimate the range of the target. Since phase ambiguity is caused by the phase periodicity of the transmitting array steering vector, a removal method of phase ambiguity is proposed. Finally, the expression of Cramér−Rao Bound (CRB) is derived and the computational complexity of the proposed algorithm is compared with the ESPRIT algorithm. The effectiveness of the proposed algorithm is verified by simulation results.https://www.mdpi.com/1424-8220/20/3/827unitary espritfda-mimo radarparameter estimationphase period ambiguity |
| spellingShingle | Feilong Liu Xianpeng Wang Mengxing Huang Liangtian Wan Huafei Wang Bin Zhang A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar Sensors unitary esprit fda-mimo radar parameter estimation phase period ambiguity |
| title | A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar |
| title_full | A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar |
| title_fullStr | A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar |
| title_full_unstemmed | A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar |
| title_short | A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar |
| title_sort | novel unitary esprit algorithm for monostatic fda mimo radar |
| topic | unitary esprit fda-mimo radar parameter estimation phase period ambiguity |
| url | https://www.mdpi.com/1424-8220/20/3/827 |
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