MIMO-Sparse Radars for Enhanced DOA Estimation of Spatio-Temporal Correlated Sources
Paper in proceeding, 2019
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal correlated sources when a multiple-input multiple-output (MIMO) sparse radar is deployed. A virtual array with increased degrees-of-freedom (DOF) is realized within two steps by combining MIMO radar with the Khatri-Rao (KR) product approach. Since the final virtual array is a uniform linear array (ULA), a well-known spatial smoothing algorithm is applied to reinforce the rank of its covariance matrix. Meanwhile, the enhanced DOF results in a higher spatial resolution of the radar in the context of DOA estimation.
Khatri-Rao subspace
sparse array
MIMO radar
DOA estimation
Author
Navid Amani
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
NXP Semiconductors Netherlands
Venkat Roy
NXP Semiconductors Netherlands
Alessio Filippi
NXP Semiconductors Netherlands
Rob Maaskant
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Eindhoven University of Technology
Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
243-246 8870432
978-1-7281-0566-6 (ISBN)
9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
Granada, Spain,
Granada, Spain,
Subject Categories
Telecommunications
Probability Theory and Statistics
Signal Processing
DOI
10.1109/APWC.2019.8870432