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Adaptive Waveform Design for Cognitive Radar Target Detection with Constant Modulus Constraint

  • Caihao Wu
  • , Chuan Huang*
  • , Yaowen Li
  • , Feifeng Liu
  • , Yu Liu
  • , You He
  • *Corresponding author for this work
  • Tsinghua University

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

Abstract

Waveform design is a critical part in cognitive radar to improve the radar performance. In this paper, an adaptive waveform design method based on maximizing the signal to clutter plus noise ratio (SCNR) is proposed, which aims at optimizing the target detection performance. Moreover, to satisfy the practical application, the constant modulus constraint is taken into account. As the first step of the method, the optimal energy spectral density (ESD) of transmit signal is calculated, which suppresses the clutter via the energy allocation. After that, the constant modulus signal is synthesized to approximate the optimal ESD using alternating projection algorithm. The simulation results demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • cognitive radar
  • constant modulus
  • maximizing SCNR
  • waveform design

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