MIMO radar waveform design with practical constraints: A low-complexity approach

Chenglin Ren, Fan Liu, Jianming Zhou

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

2 Citations (Scopus)

Abstract

In this letter, we consider the multiple-input multiple-output (MIMO) radar waveform design in the presence of signal-dependent clutters and additive white Gaussian noise. By imposing the constant modulus constraint (CMC) and waveform similarity constraint (SC), the signal-to-interference-plus-noise ratio (SINR) maximization problem is non-convex and NP-hard in general, which can be transformed into a sequence of convex quadratically constrained quadratic programming (QCQP) subproblems. Aiming at solving each subproblem efficiently, we propose a low-complexity method termed Accelerated Gradient Projection (AGP). In contrast to the conventional IPM based method, our proposed algorithm achieves the same performance in terms of the receive SINR and the beampattern, while notably reduces computational complexity.

Original languageEnglish
Title of host publication2018 18th IEEE International Conference on Communication Technology, ICCT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages94-98
Number of pages5
ISBN (Electronic)9781538676349
DOIs
Publication statusPublished - 2 Jan 2019
Event2018 18th IEEE International Conference on Communication Technology, ICCT 2018 - Chongqing, China
Duration: 8 Oct 201811 Oct 2018

Publication series

NameInternational Conference on Communication Technology Proceedings, ICCT
Volume2019-October

Conference

Conference2018 18th IEEE International Conference on Communication Technology, ICCT 2018
Country/TerritoryChina
CityChongqing
Period8/10/1811/10/18

Keywords

  • Constraint
  • Low-complexity
  • MIMO radar
  • SINR
  • Waveform design

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