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Compressive Sensing for MIMO Radar Systems with Uniform Linear Arrays  

Lim, Jong-Tae (School of Electronic & Electrical Engineering of Hongik University)
Yoo, Do-Sik (School of Electronic & Electrical Engineering of Hongik University)
Publication Information
Journal of Advanced Navigation Technology / v.14, no.1, 2010 , pp. 80-86 More about this Journal
Abstract
Compressive Sensing (CS) has been widely studied as a promising technique in many applications. The CS theory tells that a signal that is known to be sparse in a specific basis can be reconstructed using convex optimization from far fewer samples than traditional methods use. In this paper, we apply CS technique to Multiple-input multiple-output (MIMO) radar systems which employ uniform linear arrays (ULA). Especially, we investigate the problem of finding the direction-of-arrival (DOA) using CS technique and compare the performance with the conventional adaptive MIMO techniques. The results suggest the CS method can provide the similar performance with far fewer snapshots than the conventional adaptive techniques.
Keywords
MIMO radar; ULA; Compressive Sensing; DOA estimation;
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