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A real-time ISAR imaging structure based on GPU and CPU heterogeneous parallel processing

  • Beijing Institute of Technology
  • Hebei Vocational College of Rail Transportation

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

Abstract

To achieve the real-time processing requirement of high resolution ISAR imaging, this paper introduces a GPU and CPU heterogeneous parallel processing structure. In this processing structure, four GPUs are utilized to process parallel computing intensive tasks of ISAR imaging such as pulse compression, range alignment, Doppler phase correction and azimuth FFT, while the CPU is utilized to do the logic operation in the processing and to calculate target parameters that ISAR imaging required. The detailed implementation of the range-Doppler (RD) algorithm in this structure is presented in this paper. Simulation results verify the validity and efficiency of the processing structure.

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.
Pages1539-1544
Number of pages6
ISBN (Electronic)9781509013449
DOIs
Publication statusPublished - 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

  • RD algorithm
  • heterogeneous parallel processing
  • real-time ISAR imaging

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