MIMO-Sparse Radars for Enhanced DOA Estimation of Spatio-Temporal Correlated Sources
Paper i 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

Författare

Navid Amani

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Antennsystem

NXP Semiconductors

Venkat Roy

NXP Semiconductors

Alessio Filippi

NXP Semiconductors

Rob Maaskant

Technische Universiteit Eindhoven

Chalmers, Elektroteknik, Kommunikations- och antennsystem

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,

Ämneskategorier

Telekommunikation

Sannolikhetsteori och statistik

Signalbehandling

DOI

10.1109/APWC.2019.8870432

Mer information

Senast uppdaterat

2019-11-11