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

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

Researchers

Research units

  • University of Electronic Science and Technology of China

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.

Details

Original languageEnglish
Title of host publicationProceedings of the 24th European Signal Processing Conference, EUSIPCO 2016
Publication statusPublished - 28 Nov 2016
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Budapest, Hungary
Duration: 28 Aug 20162 Sep 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
CountryHungary
CityBudapest
Period28/08/201602/09/2016
Internet address

ID: 10228089