Sorting algorithm for pulse radar based on wavelet transform

Zhijie Zheng, Chundong Qi, Xiangyu Duan

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

3 Citations (Scopus)

Abstract

Pulse sorting is a key part of electronic reconnaissance which is widely used in the modern warfare. In order to suppress the sub-harmonic phenomenon that occurs in the statistical histogram sorting algorithm and solve the problem of poor clustering effect of the current clustering sorting algorithm, a sorting algorithm for radar signals based on haar wavelet transform is proposed. The simulation results show that the new algorithm has a high accuracy of measurement time and good intra-class aggregation, inter-class separation, with a high sorting accuracy at low signal to noise ratio. Haar wavelet transform can be used as a powerful tool for sorting of radar signal.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1166-1169
Number of pages4
ISBN (Electronic)9781509064137
DOIs
Publication statusPublished - 2 Jul 2017
Event2nd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017 - Chengdu, China
Duration: 15 Dec 201717 Dec 2017

Publication series

NameProceedings of the 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
Volume2018-January

Conference

Conference2nd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2017
Country/TerritoryChina
CityChengdu
Period15/12/1717/12/17

Keywords

  • pulse repetition interval
  • sorting of radar signal
  • wavelet transform

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