An Imaging Method for Ship Target Based on Rotation Parameters Estimation and Extended Nonlinear Chirp Scaling

  • Tao Chen
  • , Jinsong Lin
  • , Qing Yang
  • , Zhongyu Li
  • , Junjie Wu
  • , Jianyu Yang

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

Abstract

In this paper, the problem of imaging targets with uniform rotation is investigated, and a solution method based on genetic algorithm and extended nonlinear chirp scaling is proposed. Firstly, the keystone transform and high-order range cell migration are performed to accomplish motion compensation. Then, the differential evolution (DE) algorithm, a mutant of the genetic algorithm, is utilized to search the optimal rotation parameters. In DE algorithm, the image entropy is adopted as the object function. Simulation results validate that the proposed method can estimate rotation parameters accurately and achieve desirable peak side-lobe ratio and integration side-lobe ratio.

Original languageEnglish
Title of host publication2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-176
Number of pages5
ISBN (Electronic)9798350339994
DOIs
StatePublished - 2023
Externally publishedYes
Event6th International Conference on Information Communication and Signal Processing, ICICSP 2023 - Xi'an, China
Duration: 23 Sep 202325 Sep 2023

Publication series

Name2023 6th International Conference on Information Communication and Signal Processing, ICICSP 2023

Conference

Conference6th International Conference on Information Communication and Signal Processing, ICICSP 2023
Country/TerritoryChina
CityXi'an
Period23/09/2325/09/23

Keywords

  • differencial evolution algorithm
  • extended nonlinear chirp scaling
  • rotating targets
  • spatially variant Doppler coefficients
  • synthetic aperture radar

Fingerprint

Dive into the research topics of 'An Imaging Method for Ship Target Based on Rotation Parameters Estimation and Extended Nonlinear Chirp Scaling'. Together they form a unique fingerprint.

Cite this