Skip to main navigation Skip to search Skip to main content

A SAR moving targets imaging algorithm design and implementation based on CUDA

  • Beihang University

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

Abstract

In the application of SAR moving targets imaging, typical algorithms are generally complex, requiring powerful floating-point computing ability and a lot of time. Starting with analysis of the error of conventional still targets imaging algorithms, this paper designs a moving targets imaging algorithm by error compensation and motion parameters estimation. This algorithm is simple but efficient, and easily parallelized as well. Therefore, we implement the algorithm based on the widely used Compute Unified Device Architecture (CUDA) platform and test this implementation with data acquired from real SAR system. Tests prove the effectiveness of this algorithm and the implementation on CUDA shows very high computational efficiency. For every testing moving target, the implementation is able to finish the imaging processing within one second.

Original languageEnglish
Title of host publicationICSP 2016 - 2016 IEEE 13th International Conference on Signal Processing, Proceedings
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1451-1455
Number of pages5
ISBN (Electronic)9781509013449
DOIs
StatePublished - 2 Jul 2016
Event13th IEEE International Conference on Signal Processing, ICSP 2016 - Chengdu, China
Duration: 6 Nov 201610 Nov 2016

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume0

Conference

Conference13th IEEE International Conference on Signal Processing, ICSP 2016
Country/TerritoryChina
CityChengdu
Period6/11/1610/11/16

Keywords

  • CUDA
  • moving targets imaging
  • parameters estimation
  • SAR

Fingerprint

Dive into the research topics of 'A SAR moving targets imaging algorithm design and implementation based on CUDA'. Together they form a unique fingerprint.

Cite this