Design of multiple unimodular waveforms with low auto- and cross-correlations for radar via majorization-minimization

Yongzhe Li, Sergiy A. Vorobyov, Zishu He

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

17 Citations (Scopus)

Abstract

We develop a new efficient method for designing unimodular waveforms with good auto- and cross-correlation properties for multiple-input multiple-output (MIMO) radar. Our waveform design scheme is conducted based on minimization of the integrated sidelobe level of designed waveforms, which is formulated as a quartic non-convex optimization problem. We start from simplifying the quartic optimization problem and then transform it into a quadratic form. By means of the majorizationminimization technique that seeks to find the solution of a corresponding quadratic optimization problem, we resolve the design of waveforms for MIMO radar. Corresponding algorithms that enable good correlations of the designed waveforms and meanwhile show faster convergence as compared to their counterparts are proposed and then tested.

Original languageEnglish
Title of host publicationProceedings of the 24th European Signal Processing Conference, EUSIPCO 2016
PublisherIEEE
Pages2235-2239
Number of pages5
Volume2016-November
ISBN (Electronic)9780992862657
DOIs
Publication statusPublished - 28 Nov 2016
MoE publication typeA4 Conference publication
EventEuropean Signal Processing Conference - Budapest, Hungary
Duration: 28 Aug 20162 Sept 2016
Conference number: 24
http://www.eusipco2016.org/

Publication series

NameEuropean Signal Processing Conference
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
Country/TerritoryHungary
CityBudapest
Period28/08/201602/09/2016
Internet address

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