Target Recognition Technology of Pulse Doppler Radio Fuze Based on Bandwidth Characteristics for Anti-Chaff Jamming

Zhaoshi Yan, Xinhong Hao*, Ran Li, Ping Li

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In order to improve the anti-chaff interference ability of fuze, this paper studies the target recognition technology of pulse Doppler (PD) radio fuze based on bandwidth characteristics. By establishing the aircraft target and chaff interference model, the bandwidth characteristics of the theoretical formula of AM bandwidth and FM bandwidth are simulated. Combined with Kruskal-Wallis statistical test and BP neural network, the method can verify the target and chaff interference. Experiments show that the AM bandwidth and the FM bandwidth have significant differences in the target and chaff interference. After the AM bandwidth and the FM bandwidth are input into the BP neural network, the target and the chaff can be accurately identified.

Original languageEnglish
Title of host publicationAPACE 2019 - 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics, Proceedings
EditorsMohd Haizal Jamaluddin, Idnin Pasya, Fauziahanim Che Seman
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728121628
DOIs
Publication statusPublished - Nov 2019
Event2019 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2019 - Melacca, Malaysia
Duration: 25 Nov 201927 Nov 2019

Publication series

NameAPACE 2019 - 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics, Proceedings

Conference

Conference2019 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2019
Country/TerritoryMalaysia
CityMelacca
Period25/11/1927/11/19

Keywords

  • AM bandwidth
  • Back-Propagation (BP) neural network
  • Chaff interference
  • FM bandwidth
  • PD fuze

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