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High-Resolution Radar via Compressed Sensing

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2 Author(s)
Herman, M.A. ; Dept. of Math., Univ. of California, Davis, CA ; Strohmer, T.

A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N times N grid. Assuming the number of targets K is small (i.e., K Lt N2), then we can transmit a sufficiently ldquoincoherentrdquo 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.

Published in:
Signal Processing, IEEE Transactions on  (Volume:57 ,  Issue: 6 )

Date of Publication: June 2009

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