Compressed Sensing in MIMO Radar

論文發表人 : 陳俊仰( 加州理工學院電機工程學系博士班)
 
http://www.asilomarssc.org/

 

壓縮感測是一種結合壓縮及採樣的技術，對於在某些變換域有稀疏性質的信號非常有效率。最近，壓縮感測被提出用於雷達系統。當雷達目標在多普勒-距離空間中是稀疏的，壓縮感測回復技術可以有效的重建出目標物。在本文中，我們將這個想法延伸到多進出雷達。在多進出雷達，本文使用壓縮遙感技術去重建目標物於多普勒-距離-角度空間。為了有效地重建目標物，目標物的反射信號的相關性必需要足夠小。本文提出了一種波形設計的方法，以減少目標物反射信號之間的相關性。由於多進出雷達的維度較大，壓縮技術將會是影響力相當大的技術。

 

Compressed sensing is a technique for efficiently sampling signals which are sparse in some transform domain. Recently, the idea of compressed sensing has been used in the radar system. When the number of targets on the range-Doppler plane is small, the target scene can be reconstructed by employing the compressed sensing techniques. In this paper, we extend this idea to the MIMO radar. In the MIMO radar, the compressed sensing technique can be used to reconstruct the target scene when the signals are sparse in the range-Doppler-angle space. To effectively reconstruct the target scene, it is required that the correlation between the target responses be small. In this paper, a waveform design method is introduced to reduce the correlations between target responses. Because of the increased dimensionality in MIMO radars as compared to SIMO radars, the impact of compressed sensing will be very significant there.