Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar

In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for multiple-input-multiple-output (MIMO) radar systems to approximate a desired transmit beampattern as well as to minimize the cross-correlation of the received signals re...

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Bibliographic Details
Published in:Conference record - Asilomar Conference on Signals, Systems, & Computers pp. 1534 - 1538
Main Authors: Bose, Arindam, Khobahi, Shahin, Soltanalian, Mojtaba
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2019
Subjects:
Antenna selection
Covariance matrices
MIMO communication
MIMO radar
non-convex optimization algorithms
Optimization
Radar antennas
Transmitting antennas
waveform design
ISSN:2576-2303
Online Access:Get full text
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Summary:In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for multiple-input-multiple-output (MIMO) radar systems to approximate a desired transmit beampattern as well as to minimize the cross-correlation of the received signals reflected back from the targets. We formulate the problem as a non-convex program and then propose a cyclic optimization approach to efficiently tackle the problem. We further propose a novel local optimization framework in order to efficiently design the corresponding antenna positions. Our numerical investigations demonstrate a good performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for real-time radar signal processing applications.
ISSN:2576-2303
DOI:10.1109/IEEECONF44664.2019.9048709