Startseite A Two-Stage Space-Time Adaptive Processing Method for MIMO Radar Based on Sparse Reconstruction
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A Two-Stage Space-Time Adaptive Processing Method for MIMO Radar Based on Sparse Reconstruction

  • Hanwei Liu EMAIL logo , Yongshun Zhang , Yiduo Guo und Qiang Wang
Veröffentlicht/Copyright: 3. Februar 2017
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Abstract

To effectively suppress clutter and blocking interference for MIMO radar, a two-stage STAP method based on sparse reconstruction is proposed. As interference is sparse in spatial domain, the subspace of it is estimated with only one snapshot by using Orthogonal Matching Pursuit (OMP) algorithm, and the array data is projected onto the complementary subspace of interference. In the sequel, matched-filtering is applied to the output data followed by clutter suppression with temporal and spatial freedom. The clutter suppression is utilized directly to reduced-dimension STAP (RD-STAP) algorithms. Simulation results demonstrate that the proposed method outperforms traditional methods and reduces sample requirement.

Funding statement: This research was supported by the National Natural Science Foundation of China under grant no. 61501501.

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Received: 2016-4-10
Published Online: 2017-2-3
Published in Print: 2017-10-26

© 2017 Walter de Gruyter GmbH, Berlin/Boston

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