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An Information Theoretic Approach to Robust Constrained Code Design for MIMO Radars.

Authors :
Naghsh, Mohammad Mahdi
Modarres-Hashemi, Mahmoud
Kerahroodi, Mohammad Alaee
Alian, Ehsan Haj Mirza
Source :
IEEE Transactions on Signal Processing. Jul2017, Vol. 65 Issue 14, p3647-3661. 15p.
Publication Year :
2017

Abstract

The problem of transmit code design in multiple-input multiple-output (MIMO) radar systems is addressed in this paper. The problem is considered in both colocated and widely separated antenna radars in the presence of signal-dependent interference and target mobility. Due to complexity of exact expressions of the optimal detector in the MIMO radars, information theoretic criteria are employed as design metrics which results in a general form of nonconvex optimization problems. In order to tackle the problem, a novel technique based on the minorization-maximization algorithm is proposed and solutions are presented under practical constraints on the transmit code, namely energy constraint, peak-to-average-power ratio constraint, and similarity constraint. Furthermore, the devised method is extended to be robust against uncertainties of the clutter and interference statistics. Finally, numerical examples are used to show the performance of the proposed technique in different situations. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
1053587X
Volume :
65
Issue :
14
Database :
Academic Search Index
Journal :
IEEE Transactions on Signal Processing
Publication Type :
Academic Journal
Accession number :
124146175
Full Text :
https://doi.org/10.1109/TSP.2017.2692747