Coherent integration of quasi-random pulse train based on phased array radar

Zhiwei Zhang, Tuo Fu, Minggui Tang

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

2 Citations (Scopus)

Abstract

To improve the performance of phased array radar for the weak object detection, accumulation process is required to be performed over time to gather sufficient energy. For this purpose, the coherent integration algorithm is studied in this paper. First, a quasi-random pulse train echo model is presented, which divides the pulse train into a few sub-pulse-trains (time is uniform within the sub-pulse-train, while nonuniform among sub-pulse-trains). Then, on account of the specific features of this model, two integration algorithms based on fast Fourier transform (FFT) are proposed. The first one is coherent integration algorithm and the second one is associated coherent-noncoherent integration algorithm. Both methods are analyzed in detail. Finally, we apply these two algorithms to the real data of a phased array radar and the result verifies their effectiveness in practical application.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages214-219
Number of pages6
ISBN (Electronic)9781479964178
DOIs
Publication statusPublished - 28 Sept 2015
EventInternational Conference on Estimation, Detection and Information Fusion, ICEDIF 2015 - Harbin, China
Duration: 10 Jan 201511 Jan 2015

Publication series

NameProceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015

Conference

ConferenceInternational Conference on Estimation, Detection and Information Fusion, ICEDIF 2015
Country/TerritoryChina
CityHarbin
Period10/01/1511/01/15

Keywords

  • Coherent integration
  • FFT
  • NUFFT
  • Phased array radar
  • Quasi-random pulse train
  • Weak target

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