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Parameter estimations of SAR moving target based on DPCA-FrFT algorithm

  • Harbin Institute of Technology

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

Abstract

Thc DPCA-FrFT algorithm is used In this paper to realize the localization and velocity estimations in both ground range direction and azimuth direction when It comes to a two-apcrturc radar system. The moving point target's echo model of two-aperture SAR system is established. Then, the linear frequency-modulated characteristics of moving target's DPCA signal is elaborated. According to this characteristics, fractional Fourier transform is adopted to detect the moving target and estimate parameters. Because of the good capability of DPCA technique for clutter cancellation and the nice effect of FrFT for chirp signal detection, the DPCA-FrFT algorithm can suppress the clutter and realize the localization and velocity estimations well In different signal-to-noise ratio conditions. The simulation results validate the effectiveness of this algorithm.

Original languageEnglish
Title of host publicationICIEA 2007
Subtitle of host publication2007 Second IEEE Conference on Industrial Electronics and Applications
Pages1779-1784
Number of pages6
DOIs
StatePublished - 2007
Event2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007 - Harbin, China
Duration: 23 May 200725 May 2007

Publication series

NameICIEA 2007: 2007 Second IEEE Conference on Industrial Electronics and Applications

Conference

Conference2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007
Country/TerritoryChina
CityHarbin
Period23/05/0725/05/07

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