Compressed sensing radar

A stylized compressed sensing radar is proposed in which the timefrequency plane is discretized into an N × N grid. Assuming the number of targets K is small (i.e., K N2 ), 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.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Matthew A. Herman, Thomas Strohmer
• Keywords: Compressed Sensing, Compressed Sensing Radar, ICASSP 2008, Signal Processing, Theoretical Upper Bound