Title :
High-Resolution Radar via Compressed Sensing
Author :
Herman, Matthew A. ; Strohmer, Thomas
Author_Institution :
Dept. of Math., Univ. of California, Davis, CA
fDate :
6/1/2009 12:00:00 AM
Abstract :
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.
Keywords :
radar signal processing; target tracking; compressed sensing radar; high resolution radar; incoherent pulse; target scene reconstruction; Alltop sequence; Gabor analysis; compressed sensing; matrix identification; radar; sparse recovery;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2009.2014277