Paper Info
Title
Low-Complexity Joint Transmit And Receive Beamforming For Mimo Radar With Multi-Targets
Abstract
We consider the joint design of transmit and receive beamforming for multiple-input multiple-output (MIMO) systems in the presence of multiple targets and interferences. The objective is to maximize the minimum receiver output signal-to-interference-plus-noise-ratio (SINR) of the targets with constraints on the total and, respectively, per-antenna transmission power. The problem can be solved by an iterative bisection search (IBS) based method, which is, however, computationally intensive since it requires solving a feasibility problem multiple times for each update of the transmit beamformer. We propose a new method that bypasses the iterative feasibility checking by employing an SINR approximation. An analytical proof, which ensures the convergence of the proposed method, is provided. Numerical results show that the proposed method attains a similar SINR performance as the IBS based method but at a significantly lower computational complexity.
Year
DOI
Venue
2020
10.1109/LSP.2020.3015104
IEEE SIGNAL PROCESSING LETTERS
Keywords
DocType
Volume
Interference, Signal to noise ratio, Array signal processing, Iterative methods, Complexity theory, MIMO communication, Optimization, Multiple-input multiple-output (MIMO), joint transmit and receive beamforming, multiple targets, semidefinite relaxation
Journal
27
ISSN
Citations 
PageRank 
1070-9908
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Junwei Zhou111816.64
Hongbin Li21412114.60
Wei Cui3958.64