Paper Info
Title
Super-Resolution Delay-Doppler Estimation for OFDM Passive Radar.
Abstract
In this paper, we consider the problem of joint delay-Doppler estimation of moving targets in a passive radar that makes use of orthogonal frequency-division multiplexing communication signals. A compressed sensing algorithm is proposed to achieve supper resolution and better accuracy, using both the atomic norm and the $\\ell _1$-norm. The atomic norm is used to manifest the signal sparsity in the continuous domain. Unlike previous works that assume the demodulation to be error free, we explicitly introduce the demodulation error signal whose sparsity is imposed by the $\\ell _1$-norm. On this basis, the delays and Doppler frequencies are estimated by solving a semidefinite program (SDP) which is convex. We also develop an iterative method for solving this SDP via the alternating direction method of multipliers where each iteration involves closed-form computation. Simulation results are presented to illustrate the high performance of the proposed algorithm.
Year
DOI
Venue
2017
10.1109/TSP.2017.2659650
IEEE Trans. Signal Processing
Keywords
DocType
Volume
OFDM,Passive radar,Demodulation,Clutter,Signal resolution,Delays
Journal
abs/1610.04218
Issue
ISSN
Citations 
9
1053-587X
6
PageRank 
References 
Authors
0.50
0
2
Name
Order
Citations
PageRank
Le Zheng1849.88
Xiaodong Wang23958310.41