High-Resolution Radar via Compressed Sensing
Abstract
A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N by N grid. Assuming the number of targets K is small (i.e., K much less than 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.
Cite
@article{arxiv.0803.2257,
title = {High-Resolution Radar via Compressed Sensing},
author = {Matthew A. Herman and Thomas Strohmer},
journal= {arXiv preprint arXiv:0803.2257},
year = {2015}
}
Comments
New: Extended theory to include case of noisy signals; Re-ran numerical simulations with complex-valued data; Clarified definition of "random signal"; Minor language and typo fixes; 14 pages, 13 figures. Accepted to IEEE Transactions on Signal Processing, December 2008