A FREQUENCY-DOMAIN SPARSE MULTIFUNCTIONAL ANTI-JAMMING WAVEFORM DESIGN AND PROCESSING METHOD

Wenxin Guan, Zhidong Zheng*, Shaoqiang Chang, Quanhua Liu, Xinliang Chen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

A frequency-domain sparse multifunctional anti-jamming waveform design and processing method is introduced. The anti-jamming waveform is transmitted using wide-to-narrow band transmission technique. By constructing the integrated Hidden Markov Model (HMM) for radar-jammer joint state, the jamming sub-band is predicted, and the corresponding receiving sub-band is determined to effectively mitigate the impact of jamming. Simulation experiments were conducted, demonstrating the pronounced efficacy of the proposed anti-jamming waveform in mitigating jamming effects.

Original languageEnglish
Pages (from-to)1606-1612
Number of pages7
JournalIET Conference Proceedings
Volume2023
Issue number47
DOIs
Publication statusPublished - 2023
EventIET International Radar Conference 2023, IRC 2023 - Chongqing, China
Duration: 3 Dec 20235 Dec 2023

Keywords

  • ANTI-JAMMING WAVEFORM
  • BAUM-WELCH ALGORITHM
  • COGNITIVE JAMMING
  • HIDDEN MARKOV MODEL

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