Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP
Abstract In this article, the problem of the transmit beamspace (TB) matrix design in multiple‐input multiple‐output (MIMO) radar is considered. To reduce the computational burden and to focus the energy within optimal spatial sector, a joint design method of the TB matrix and a reduced‐dimension sp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
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| Series: | IET Radar, Sonar & Navigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rsn2.12077 |
| _version_ | 1811209674971676672 |
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| author | Xiaojiao Pang Yongbo Zhao Chenghu Cao Sheng Chen Yili Hu |
| author_facet | Xiaojiao Pang Yongbo Zhao Chenghu Cao Sheng Chen Yili Hu |
| author_sort | Xiaojiao Pang |
| collection | DOAJ |
| description | Abstract In this article, the problem of the transmit beamspace (TB) matrix design in multiple‐input multiple‐output (MIMO) radar is considered. To reduce the computational burden and to focus the energy within optimal spatial sector, a joint design method of the TB matrix and a reduced‐dimension space‐time adaptive processing (STAP) filter is proposed based on the maximum signal‐to‐clutter‐plus‐noise ratio (SCNR). Firstly, the signal model of the reduced‐dimension STAP for TB‐based MIMO radar is established. Then, using the maximum SCNR as the design metric, the joint design model of the TB matrix and the reduced‐dimension STAP filter is presented. Furthermore, the cyclic optimisation method is exploited to deal with the non‐convex joint design problem with the energy constraint. Finally, simulation experiments demonstrate the joint design method of the TB matrix and the STAP filter not only has better output SCNR performance but also owns lower computational burden when compared with the other existing methods. |
| first_indexed | 2024-04-12T04:43:15Z |
| format | Article |
| id | doaj.art-5f71cf80d55e4b9bac7d749616dcdbde |
| institution | Directory Open Access Journal |
| issn | 1751-8784 1751-8792 |
| language | English |
| last_indexed | 2024-04-12T04:43:15Z |
| publishDate | 2021-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj.art-5f71cf80d55e4b9bac7d749616dcdbde2022-12-22T03:47:33ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-06-0115665566510.1049/rsn2.12077Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAPXiaojiao Pang0Yongbo Zhao1Chenghu Cao2Sheng Chen3Yili Hu4National Lab of Radar Signal Processing Xidian University Xi'an ChinaNational Lab of Radar Signal Processing Xidian University Xi'an ChinaNational Lab of Radar Signal Processing Xidian University Xi'an ChinaNational Lab of Radar Signal Processing Xidian University Xi'an ChinaNational Lab of Radar Signal Processing Xidian University Xi'an ChinaAbstract In this article, the problem of the transmit beamspace (TB) matrix design in multiple‐input multiple‐output (MIMO) radar is considered. To reduce the computational burden and to focus the energy within optimal spatial sector, a joint design method of the TB matrix and a reduced‐dimension space‐time adaptive processing (STAP) filter is proposed based on the maximum signal‐to‐clutter‐plus‐noise ratio (SCNR). Firstly, the signal model of the reduced‐dimension STAP for TB‐based MIMO radar is established. Then, using the maximum SCNR as the design metric, the joint design model of the TB matrix and the reduced‐dimension STAP filter is presented. Furthermore, the cyclic optimisation method is exploited to deal with the non‐convex joint design problem with the energy constraint. Finally, simulation experiments demonstrate the joint design method of the TB matrix and the STAP filter not only has better output SCNR performance but also owns lower computational burden when compared with the other existing methods.https://doi.org/10.1049/rsn2.12077filtering theoryoptimisationradar clutterradar signal processingspace‐time adaptive processingMIMO radar |
| spellingShingle | Xiaojiao Pang Yongbo Zhao Chenghu Cao Sheng Chen Yili Hu Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP IET Radar, Sonar & Navigation filtering theory optimisation radar clutter radar signal processing space‐time adaptive processing MIMO radar |
| title | Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP |
| title_full | Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP |
| title_fullStr | Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP |
| title_full_unstemmed | Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP |
| title_short | Joint design of transmit beamspace and reduced‐dimension receiver filter for MIMO radar STAP |
| title_sort | joint design of transmit beamspace and reduced dimension receiver filter for mimo radar stap |
| topic | filtering theory optimisation radar clutter radar signal processing space‐time adaptive processing MIMO radar |
| url | https://doi.org/10.1049/rsn2.12077 |
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