Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC

Authors:
Xiaofei Zhang;Lingyun Xu;Lei Xu;Dazhuan Xu
Affiliations:
Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China;Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China;Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China;Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Venue:
IEEE Communications Letters
Year:
2010

Citing 1
Cited 6

Spatial diversity in radars-models and detection performance

IEEE Transactions on Signal Processing

Direction finding with automatic pairing for bistatic MIMO radar

Signal Processing
Joint DOD and DOA estimation of bistatic MIMO radar in the presence of unknown mutual coupling

Signal Processing
Angle Estimation Using Quaternion-ESPRIT in Bistatic MIMO-Radar

Wireless Personal Communications: An International Journal
Multi-SVD based subspace estimation to improve angle estimation accuracy in bistatic MIMO radar

Signal Processing
Two-dimensional angle estimation for monostatic MIMO arbitrary array with velocity receive sensors and unknown locations

Digital Signal Processing
Blind DOA and polarization estimation for polarization-sensitive array using dimension reduction MUSIC

Multidimensional Systems and Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one-dimension search, can avoid the high computational cost within two-dimension MUSIC (2D-MUSIC) algorithm. We illustrate that the algorithm has better performance ESPRIT algorithm, and has very close performance to 2D-MUSIC algorithm. Further our algorithm requires no pair matching. Simulation results verify the usefulness of our algorithm.