Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference
For meter-wave multiple-input multiple-output (MIMO) radar, the multipath of target echoes may cause severe errors in height measurement, especially in the case of complex terrain where terrain fluctuation, ground inclination, and multiple reflection points exist. Inspired by a sparse array with gre...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/22/4331 |
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| author | Cong Qin Qin Zhang Guimei Zheng Gangsheng Zhang Shiqiang Wang |
| author_facet | Cong Qin Qin Zhang Guimei Zheng Gangsheng Zhang Shiqiang Wang |
| author_sort | Cong Qin |
| collection | DOAJ |
| description | For meter-wave multiple-input multiple-output (MIMO) radar, the multipath of target echoes may cause severe errors in height measurement, especially in the case of complex terrain where terrain fluctuation, ground inclination, and multiple reflection points exist. Inspired by a sparse array with greater degrees of freedom and low mutual coupling, a height measurement method based on a sparse array is proposed. First, a practical signal model of MIMO radar based on a sparse array is established. Then, the modified multiple signal classification (MUSIC) and maximum likelihood (ML) estimation algorithms based on two classical sparse arrays (coprime array and nested array) are proposed. To reduce the complexity of the algorithm, a real-valued processing algorithm for generalized MUSIC (GMUSIC) and maximum likelihood is proposed, and a reduced dimension matrix is introduced into the real-valued processing algorithm to further reduce computation complexity. Finally, sufficient simulation results are provided to illustrate the effectiveness and superiority of the proposed technique. The simulation results show that the height measurement accuracy can be efficiently improved by using our proposed technique for both simple and complex terrain. |
| format | Article |
| id | doaj-art-d0a0c97323104c60b93e6dec18a82c0c |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-d0a0c97323104c60b93e6dec18a82c0c2024-11-26T18:20:27ZengMDPI AGRemote Sensing2072-42922024-11-011622433110.3390/rs16224331Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath InterferenceCong Qin0Qin Zhang1Guimei Zheng2Gangsheng Zhang3Shiqiang Wang4Air 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, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaFor meter-wave multiple-input multiple-output (MIMO) radar, the multipath of target echoes may cause severe errors in height measurement, especially in the case of complex terrain where terrain fluctuation, ground inclination, and multiple reflection points exist. Inspired by a sparse array with greater degrees of freedom and low mutual coupling, a height measurement method based on a sparse array is proposed. First, a practical signal model of MIMO radar based on a sparse array is established. Then, the modified multiple signal classification (MUSIC) and maximum likelihood (ML) estimation algorithms based on two classical sparse arrays (coprime array and nested array) are proposed. To reduce the complexity of the algorithm, a real-valued processing algorithm for generalized MUSIC (GMUSIC) and maximum likelihood is proposed, and a reduced dimension matrix is introduced into the real-valued processing algorithm to further reduce computation complexity. Finally, sufficient simulation results are provided to illustrate the effectiveness and superiority of the proposed technique. The simulation results show that the height measurement accuracy can be efficiently improved by using our proposed technique for both simple and complex terrain.https://www.mdpi.com/2072-4292/16/22/4331height measurementMIMO radarsparse arrayMUSICmaximum likelihood estimationreal-valued processing |
| spellingShingle | Cong Qin Qin Zhang Guimei Zheng Gangsheng Zhang Shiqiang Wang Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference Remote Sensing height measurement MIMO radar sparse array MUSIC maximum likelihood estimation real-valued processing |
| title | Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference |
| title_full | Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference |
| title_fullStr | Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference |
| title_full_unstemmed | Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference |
| title_short | Height Measurement for Meter-Wave MIMO Radar Based on Sparse Array Under Multipath Interference |
| title_sort | height measurement for meter wave mimo radar based on sparse array under multipath interference |
| topic | height measurement MIMO radar sparse array MUSIC maximum likelihood estimation real-valued processing |
| url | https://www.mdpi.com/2072-4292/16/22/4331 |
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