An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing
The article presents a new space-time adaptive processing (STAP) method for target detection in a heterogeneous and non-stationary environment. In study it was proven that it is possible to estimate the clutter covariance matrix (CCM) in STAP by using the MIMO (Multiple Input Multiple Output) radar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/12/3468 |
| _version_ | 1797564731862548480 |
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| author | Anna Ślesicka Adam Kawalec |
| author_facet | Anna Ślesicka Adam Kawalec |
| author_sort | Anna Ślesicka |
| collection | DOAJ |
| description | The article presents a new space-time adaptive processing (STAP) method for target detection in a heterogeneous and non-stationary environment. In study it was proven that it is possible to estimate the clutter covariance matrix (CCM) in STAP by using the MIMO (Multiple Input Multiple Output) radar geometry model and the orthogonal matching pursuit (OMP) algorithm. For the estimation of spatio-temporal spectrum of clutter and target, a model of joint sparse recovery was established. As a result, clutter suppression and target detection in a heterogeneous environment will be achieved. In addition, the proposed method uses a single snapshot of the radar data cube, which eliminates the need for access to all training cells. |
| first_indexed | 2024-03-10T19:02:08Z |
| format | Article |
| id | doaj.art-52cb6d43b8d04035b42eff8ffc3cce03 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:02:08Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-52cb6d43b8d04035b42eff8ffc3cce032023-11-20T04:22:40ZengMDPI AGSensors1424-82202020-06-012012346810.3390/s20123468An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive ProcessingAnna Ślesicka0Adam Kawalec1Faculty of Electronics, Institute of Radioelectronics, Military University of Technology, Gen. S. Kaliskiego 2, 00-908 Warsaw, PolandFaculty of Electronics, Institute of Radioelectronics, Military University of Technology, Gen. S. Kaliskiego 2, 00-908 Warsaw, PolandThe article presents a new space-time adaptive processing (STAP) method for target detection in a heterogeneous and non-stationary environment. In study it was proven that it is possible to estimate the clutter covariance matrix (CCM) in STAP by using the MIMO (Multiple Input Multiple Output) radar geometry model and the orthogonal matching pursuit (OMP) algorithm. For the estimation of spatio-temporal spectrum of clutter and target, a model of joint sparse recovery was established. As a result, clutter suppression and target detection in a heterogeneous environment will be achieved. In addition, the proposed method uses a single snapshot of the radar data cube, which eliminates the need for access to all training cells.https://www.mdpi.com/1424-8220/20/12/3468space-time adaptive processingSTAPsparse representationMIMO radarorthogonal matching pursuit algorithmclutter covariance matrix |
| spellingShingle | Anna Ślesicka Adam Kawalec An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing Sensors space-time adaptive processing STAP sparse representation MIMO radar orthogonal matching pursuit algorithm clutter covariance matrix |
| title | An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing |
| title_full | An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing |
| title_fullStr | An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing |
| title_full_unstemmed | An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing |
| title_short | An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing |
| title_sort | application of the orthogonal matching pursuit algorithm in space time adaptive processing |
| topic | space-time adaptive processing STAP sparse representation MIMO radar orthogonal matching pursuit algorithm clutter covariance matrix |
| url | https://www.mdpi.com/1424-8220/20/12/3468 |
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