Paper Info
Title
Efficient Waveform Covariance Matrix Design And Antenna Selection For Mimo Radar
Abstract
Controlling the radar beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO radar system to approximate a given transmit beam-pattern, as well as to minimize the cross-correlation between the probing signals at a number of given target locations. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time radar waveform processing applications such as MIMO radar transmit beamforming for aerial drones that are in motion. (C) 2021 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2021
10.1016/j.sigpro.2021.107985
SIGNAL PROCESSING
Keywords
DocType
Volume
Antenna selection, Beam-forming, Dynamic programming, MIMO radar, Waveform design
Journal
183
ISSN
Citations 
PageRank 
0165-1684
1
0.36
References 
Authors
0
3
Name
Order
Citations
PageRank
Arindam Bose1114.21
Shahin Khobahi230.73
Mojtaba Soltanalian320325.50