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An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing

Faculty of Electronics, Institute of Radioelectronics, Military University of Technology, Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland
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Sensors 2020, 20(12), 3468; https://doi.org/10.3390/s20123468
Received: 25 May 2020 / Revised: 15 June 2020 / Accepted: 16 June 2020 / Published: 19 June 2020
(This article belongs to the Special Issue Microwave Sensors and Radar Techniques)
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. View Full-Text
Keywords: space-time adaptive processing; STAP; sparse representation; MIMO radar; orthogonal matching pursuit algorithm; clutter covariance matrix space-time adaptive processing; STAP; sparse representation; MIMO radar; orthogonal matching pursuit algorithm; clutter covariance matrix
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MDPI and ACS Style

Ślesicka, A.; Kawalec, A. An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing. Sensors 2020, 20, 3468. https://doi.org/10.3390/s20123468

AMA Style

Ślesicka A, Kawalec A. An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing. Sensors. 2020; 20(12):3468. https://doi.org/10.3390/s20123468

Chicago/Turabian Style

Ślesicka, Anna; Kawalec, Adam. 2020. "An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing" Sensors 20, no. 12: 3468. https://doi.org/10.3390/s20123468

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