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Minimum redundancy MIMO array synthesis with a hybrid method based on cyclic difference sets and ACO

Published online by Cambridge University Press:  24 July 2015

Jian Dong ,
Ronghua Shi  and
Ying Guo
Jian Dong*
Affiliation:
School of Information Science and Engineering, Central South University, 410083, Changsha, China. Phone: +86 1580 2654 984
Ronghua Shi
Affiliation:
School of Information Science and Engineering, Central South University, 410083, Changsha, China. Phone: +86 1580 2654 984
Ying Guo
Affiliation:
School of Information Science and Engineering, Central South University, 410083, Changsha, China. Phone: +86 1580 2654 984
*
Corresponding author: J. Dong Email: dongjian@csu.edu.cn
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Abstract

As a recently proposed concept, multiple-input multiple-output (MIMO) radars exhibit much higher spatial resolution than traditional transmitter based radars because of the synthesized virtual array. In this paper, the problem of minimum redundancy (MR)-MIMO array synthesis is addressed, which seeks to maximize the virtual array aperture of MIMO radars for a given number of transmitting and receiving elements. A hybrid method combining autocorrelation property of cyclic difference sets (CDSs) and global search characteristics of ant colony optimization (ACO) is proposed for a rapid and numerically-effective exploration of MR-MIMO array configurations. Numerical experiments validate the proposed method, showing improvements in convergence rate and computational cost with respect to bare ACO-based search as well as improvements in the generality and configuration variety with respect to the CDS-based method.

Keywords

Antennas and propagation for wireless systemsSmart antennasDigital beam formingMIMO
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Issue 1 , February 2017 , pp. 35 - 43
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

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