Paper ID | SAM-3.3 | ||
Paper Title | SPARSE PARAMETER ESTIMATION FOR PMCW MIMO RADAR USING FEW-BIT ADCS | ||
Authors | Chao-Yi Wu, Jian Li, Tan F. Wong, University of Florida, United States | ||
Session | SAM-3: MIMO Radar Array Processing | ||
Location | Gather.Town | ||
Session Time: | Wednesday, 09 June, 16:30 - 17:15 | ||
Presentation Time: | Wednesday, 09 June, 16:30 - 17:15 | ||
Presentation | Poster | ||
Topic | Sensor Array and Multichannel Signal Processing: [RAS-MIMO] MIMO Radar and waveform design | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
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 l2,1-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. |