Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 57, Issue 6, Pages 2275-2284Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2009.2014277
Keywords
Alltop sequence; compressed sensing; Gabor analysis; matrix identification; radar; sparse recovery
Categories
Funding
- NSF [DMS-0511461]
- NSF VIGRE [DMS-0135345, DMS0636297]
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A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N x N grid. Assuming the number of targets K is small (i.e., K << N-2), then we can transmit a sufficiently incoherent pulse and employ the techniques of compressed sensing to reconstruct the target scene. A theoretical upper bound on the sparsity K is presented. Numerical simulations verify that even better performance can be achieved in practice. This novel-compressed sensing approach offers great potential for better resolution over classical radar.
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