MIMO-Sparse Radars for Enhanced DOA Estimation of Spatio-Temporal Correlated Sources
Paper in proceedings, 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 and Antenna Systems, Antennas

NXP Semiconductors

Venkat Roy

NXP Semiconductors

Alessio Filippi

NXP Semiconductors

Rob Maaskant

Technische Universiteit Eindhoven

Chalmers, Electrical Engineering, Communication and Antenna Systems

Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019

243-246 8870432

9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019
Granada, Spain,

Subject Categories

Telecommunications

Probability Theory and Statistics

Signal Processing

DOI

10.1109/APWC.2019.8870432

More information

Latest update

11/11/2019