Iterative quadratic relaxation method for optimization of multiple radar waveforms

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Abstract

MIMO radars use multiple waveforms in order to resolve more targets and achieve gains in target detection, parameter estimation and recognition, for example. In this paper, we propose a method for optimizing multiple waveforms with low peak sidelobe and peak cross-correlation levels for MIMO radar. The optimization method relaxes the original quartic problem into a quadratic one and iterates the relaxed problem to improve the solution. The numerical examples demonstrate that good waveforms are obtained with the proposed method.

Details

Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Publication statusPublished - 18 May 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Acoustics, Speech, and Signal Processing - Shanghai, China
Duration: 20 Mar 201625 Mar 2016
Conference number: 41
http://www.icassp2016.org/

Publication series

NameProceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN (Print)1520-6149
ISSN (Electronic)2379-190X

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP 2016
CountryChina
CityShanghai
Period20/03/201625/03/2016
Internet address

    Research areas

  • constant-modulus waveforms, MIMO radar, optimization, relaxation methods, waveform design

ID: 4826387