Coherently integrated cubic function based Doppler parameters estimation for moving-target imaging

Jia Su, Haihong Tao, Ling Wang, Jian Xie, Mingling Tao, Kun Wei

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

2 Scopus citations

Abstract

A novel moving target imaging algorithm is proposed based on coherently integrated cubic phase function (CICPF) for synthetic aperture radar (SAR) system. The CICPF algorithm can solve the identifiability problem caused by cubic phase function (CPF) when dealing with multicomponent signals. Moreover, the CICPF algorithm can estimate the parameters of multicomponent signals without searching procedures and can acquire high anti-noise performance due to its coherent accumulation procedure. With estimated Doppler parameters, high-quality imaging for moving targets can be obtained. Experimental results demonstrate the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007856
StatePublished - 26 Sep 2017
Event2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017 - Suzhou, China
Duration: 1 Aug 20174 Aug 2017

Publication series

Name2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017

Conference

Conference2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017
Country/TerritoryChina
CitySuzhou
Period1/08/174/08/17

Keywords

  • CPF
  • Doppler parameters estimation
  • moving target imaging
  • SAR

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