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Phase-coded Waveform Design for MIMO Radar Based on Nonlinear Conjugate Gradient Method

  • Shiwen Sun
  • , Yuxi Zhang*
  • , Jiahui Cao
  • , Yizhan Feng
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Multiple-input multiple-output (MIMO) radar can enhance its waveform diversity gain by designing waveforms with good orthogonality. The peak sidelobe level (PSL) is a key metric for evaluating the orthogonality of MIMO radar waveforms. This paper proposes the LSE-CG algorithm to address the slow convergence of traditional gradient descent in PSL optimization. It combines the nonlinear conjugate gradient (NCG) method with Newton's Downhill-based step size search. The algorithm optimizes the PSL using the Log-Sum-Exp (LSE) approximation and achieves faster convergence while PSL is closer to lower-bound compared to conventional approaches.

Original languageEnglish
Title of host publication2025 7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages601-605
Number of pages5
ISBN (Electronic)9798331510381
DOIs
StatePublished - 2025
Event7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025 - Harbin, China
Duration: 18 Apr 202520 Apr 2025

Publication series

Name2025 7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025

Conference

Conference7th International Conference on Information Science, Electrical and Automation Engineering, ISEAE 2025
Country/TerritoryChina
CityHarbin
Period18/04/2520/04/25

Keywords

  • MIMO radar
  • nonlinear conjugate gradient
  • waveform design

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