Coherent Accumulation Algorithm for Maneuvering Weak Target Based on Angular-Stepped-GRFT

Yuxian Sun, Shaoqiang Chang*, Gang Wang, Zhennan Liang, Jinpeng Guo, Quanhua Liu

*Corresponding author for this work

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

Abstract

This paper proposes an improved angular stepped generalized Radon Fourier transform (angular-stepped-GRFT) algorithm for maneuvering weak target detection in synthetic wideband radar. The proposed method can achieve motion parameters estimation for the maneuvering weak target based on stepped frequency signal. On this basis, the motion compensation of maneuvering weak target and range profile focusing method are realized.

Original languageEnglish
Title of host publicationProceedings of CECNet 2022 - 12th International Conference on Electronics, Communications and Networks, CECNet 2022
EditorsAntonio J. Tallon-Ballesteros
PublisherIOS Press BV
Pages424-435
Number of pages12
ISBN (Electronic)9781643683683
DOIs
Publication statusPublished - 13 Dec 2022
Event12th International Conference on Electronics, Communications and Networks, CECNet 2022 - Virtual, Online
Duration: 4 Nov 20227 Nov 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume363
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference12th International Conference on Electronics, Communications and Networks, CECNet 2022
CityVirtual, Online
Period4/11/227/11/22

Keywords

  • GRFT
  • Long-time coherent accumulation
  • motion parameters estimation
  • range profile

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