A segment-sliding reconstruction scheme for pulsed radar echoes with sub-Nyquist sampling
Suling Zhang, Feng Xi, Shengyao Chen, Yimin D. Zhang, Zhong Liu
Abstract
For radar echoes sampled at sub-Nyquist rates, it is impractical, if not impossible, to recover full-range Nyquist samples because of huge storage and computational loads. By exploiting the banded structure of the measurement matrix, we develop a novel segment-sliding reconstruction (SegSR) scheme to recover the Nyquist samples through low-cost segment-based computations. An important feature of the proposed SegSR scheme is that the measurement sub-matrix in each segment satisfies the restricted isometry property and thus the recovery performance is guaranteed. Because of the segmenting reconstruction, the adjacent segments will introduce interferences for current segment reconstruction. To reduce the effect of such interference, a two-step orthogonal matching pursuit process (TOMPP) algorithm is proposed for improved segment-based reconstructions. The effectiveness of the proposed SegSR with TOMPP is validated by simulations.
BibTeX
@inproceedings{icassp2016_asegmentslidingr,
title = {A segment-sliding reconstruction scheme for pulsed radar echoes with sub-Nyquist sampling},
author = {Suling Zhang and Feng Xi and Shengyao Chen and Yimin D. Zhang and Zhong Liu},
booktitle = {ICASSP 2016},
year = {2016}
}