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Analysis of Frequency Agile Radar via Compressed Sensing.

Authors :
Huang, Tianyao
Liu, Yimin
Xu, Xingyu
Eldar, Yonina C.
Wang, Xiqin
Source :
IEEE Transactions on Signal Processing; Dec2018, Vol. 66 Issue 23, p6228-6240, 13p
Publication Year :
2018

Abstract

Frequency agile radar (FAR) is known to have excellent electronic counter-countermeasures performance and the potential to realize spectrum sharing in dense electromagnetic environments. Many compressed sensing (CS) based algorithms have been developed for joint range and Doppler estimation in FAR. This paper considers theoretical analysis of FAR via CS algorithms. In particular, we analyze the properties of the sensing matrix, which is a highly structured random matrix. We then derive bounds on the number of recoverable targets. Numerical simulations and field experiments validate the theoretical findings and demonstrate the effectiveness of CS approaches to FAR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1053587X
Volume :
66
Issue :
23
Database :
Complementary Index
Journal :
IEEE Transactions on Signal Processing
Publication Type :
Academic Journal
Accession number :
133667505
Full Text :
https://doi.org/10.1109/TSP.2018.2876301