Joint time reversal and compressive sensing based localization algorithms for multiple-input multiple-output radars
Mohammad H. S. Sajjadieh, Amir Asif
Abstract
The source localization problem for multiple-input, multiple-output (MIMO) radars was recently formulated by Yu et al. [7] in the compressive sensing (CS) framework. The resulting CS/MIMO radar achieves high resolution in joint direction and Doppler estimation, which is more pronounced with sparse data. However, the CS/MIMO technology does not operate well in environments with multipath, as is the case for low-angle targets located over flat surfaces. The paper applies the principle of time reversal (TR) to the CS/MIMO radar to converge the TR probing signal on the target leading to a stronger backscatter from the target as compared to the ones received from surrounding clutter. Monte Carlo simulations verify the superiority of the CSTR/MIMO radar over its CS/MIMO version without TR.
BibTeX
@inproceedings{icassp2015_jointtimereversa,
title = {Joint time reversal and compressive sensing based localization algorithms for multiple-input multiple-output radars},
author = {Mohammad H. S. Sajjadieh and Amir Asif},
booktitle = {ICASSP 2015},
year = {2015}
}