Frequency Diverse Array MIMO Radar Adaptive Beamforming with Range-Dependent Interference Suppression in Target LocalizationReport as inadecuate

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International Journal of Antennas and Propagation - Volume 2015 2015, Article ID 358582, 10 pages -

Research ArticleSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Qingshuihexiaoqu, No. 2006 Xiyuan Road, Gaoxin, Xiqu, Chengdu, Sichuan 611731, China

Received 1 February 2015; Accepted 10 September 2015

Academic Editor: Jaume Anguera

Copyright © 2015 Kuandong Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Conventional multiple-input and multiple-outputMIMO radar is a flexible technique which enjoys the advantagesof phased-array radar without sacrificing its mainadvantages. However, due to its range-independent directivity,MIMO radar cannot mitigate nondesirable range-dependentinterferences. In this paper, we propose a range-dependentinterference suppression approach via frequency diverse arrayFDA MIMO radar, which offers a beamforming-based solutionto suppress range-dependent interferences and thus yields muchbetter DOA estimation performance than conventional MIMOradar. More importantly, the interferences located at the sameangle but different ranges can be effectively suppressed by therange-dependent beamforming, which cannot be achieved byconventional MIMO radar. The beamforming performance ascompared to conventional MIMO radar is examined by analyzingthe signal-to-interference-plus-noise ratio SINR. The Cramér-Rao lower bound CRLB is also derived. Numerical resultsshow that the proposed method can efficiently suppress range-dependentinterferences and identify range-dependent targets. It is particularly useful in suppressing the undesired stronginterferences with equal angle of the desired targets.

Author: Kuandong Gao, Huaizong Shao, Jingye Cai, Hui Chen, and Wen-Qin Wang



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