Paper Info
Title
A High-Resolution Joint Angle-Doppler Estimation Sub-Nyquist Radar Approach Based On Matrix Completion
Abstract
In order to reduce power consumption and save storage capacity, we propose a high-resolution sub-Nyquist radar approach based on matrix completion (MC), termed as single-channel sub-Nyquist-MC radars. While providing the high-resolution joint angle-Doppler estimation, this proposed radar approach minimizes the number of samples in all three dimensions, that is, the range dimension, the pulse dimension (also named temporal dimension), and the spatial dimension. In range dimension, we use a single-channel analog-to-information converter (AIC) to reduce the number of range samples to one; in both spatial and temporal dimensions, we employ a bank of random switch units to regulate the AICs, which greatly reduce the number of spatial-temporal samples. According to the proposed sampling scheme, the samples in digital processing center forwarded by M receive nodes and N pulses are only a subset of the full matrix of size M times N. Under certain conditions and with the knowledge of the sampling scheme, the full matrix can be perfectly recovered by using MC techniques. Based on the recovered full matrix, this paper addresses the problem of the high-resolution joint angle-Doppler estimation by employing compressed sensing (CS) techniques. The properties and performance of the proposed approach are demonstrated via simulations.
Year
DOI
Venue
2019
10.3390/info10040124
INFORMATION
Keywords
Field
DocType
compressed sensing radar, sub-Nyquist sampling, matrix completion, array signal processing, recovery algorithm
Radar,Data mining,Matrix completion,Matrix (mathematics),Computer science,Algorithm,Pulse (signal processing),Nyquist–Shannon sampling theorem,Doppler effect,Compressed sensing,Power consumption
Journal
Volume
Issue
ISSN
10
4
2078-2489
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Quanhui Wang101.01
Ying Sun229140.03