Sparse Parameter Estimation for PMCW MIMO Radar Using Few-Bit ADCs
Chao-Yi Wu, Jian Li, Tan F. Wong
Abstract
In this work, we consider target parameter estimation of phase-modulated continuous-wave (PMCW) multiple-input multiple-output (MIMO) radars with few-bit analog-to-digital converters (ADCs). We formulate the estimation problem as a sparse signal recovery problem and modify the fast iterative shrinkage-thresholding algorithm (FISTA) to solve it. The ℓ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2,1</inf> -norm is adopted to promote the sparsity in the range-Doppler-angle domain. Simulation results show that using few-bit ADCs can achieve comparable performance to many-bit ADCs when targets are widely separated. However, if targets are spaced closely, performance losses can occur when 1-bit ADCs are applied.
BibTeX
@inproceedings{icassp2021_sparseparametere,
title = {Sparse Parameter Estimation for PMCW MIMO Radar Using Few-Bit ADCs},
author = {Chao-Yi Wu and Jian Li and Tan F. Wong},
booktitle = {ICASSP 2021},
year = {2021}
}