Research on Dual Band Covariant Correlation Fusion Radar Fuze Detection Method

Qianyu Wang, Lingyi Wu, Xi Pan*

*Corresponding author for this work

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

Abstract

With the increasing complexity of the electromagnetic environment and the continuous innovation of modern jammer technology, radar fuze is facing more and more complex situation in combat. Therefore, the multimode composite detection radar fuze has been gradually developed. As a typical mode of composite detection, dual-band detection improves the radar fuze performance of target detection and anti-jamming capability by fusing the information obtained from two bands. This paper proposes a dual band covariance correlation fusion radar fuze detection method to improve the anti-jamming capability of radar fuze and detection capability at low signal-to-noise ratio. The transmitted signal is designed as a FMCW waveform with dual band collaboratively and randomly hopping parameters, and the beat signal with randomly hopping parameters is adaptively fused by the dual band covariant correlation fusion algorithm to achieve accurate ranging at low signal-to-noise ratio. The simulation results demonstrate that the dual band covariant correlation fusion algorithm has satisfying detection performance, can improve the signal-to-noise ratio and has excellent anti-jamming performance.

Original languageEnglish
Title of host publication2023 5th International Conference on Electronic Engineering and Informatics, EEI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages457-462
Number of pages6
ISBN (Electronic)9798350327076
DOIs
Publication statusPublished - 2023
Event5th International Conference on Electronic Engineering and Informatics, EEI 2023 - Hybrid, Wuhan, China
Duration: 30 Jun 20232 Jul 2023

Publication series

Name2023 5th International Conference on Electronic Engineering and Informatics, EEI 2023

Conference

Conference5th International Conference on Electronic Engineering and Informatics, EEI 2023
Country/TerritoryChina
CityHybrid, Wuhan
Period30/06/232/07/23

Keywords

  • FMCW
  • anti-jamming
  • dual band
  • radar fuze
  • randomly hopping parameter

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Cite this

Wang, Q., Wu, L., & Pan, X. (2023). Research on Dual Band Covariant Correlation Fusion Radar Fuze Detection Method. In 2023 5th International Conference on Electronic Engineering and Informatics, EEI 2023 (pp. 457-462). (2023 5th International Conference on Electronic Engineering and Informatics, EEI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEI59236.2023.10212716