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Blind detection and parameter estimation of single frequency-hopping signal in complex electromagnetic environment

  • Harbin Institute of Technology

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

Abstract

according to the non-stationary property of frequency-hopping signal, this paper presents a new blind detection and parameter estimation algorithm, which is based on Short-Time Fourier Transform, for single frequency-hopping signal in complex electromagnetic environment. The frequency-hopping signal can be recognized by the same dwell duration of the signal Component on different frequencies, which the interference signal and the noise can be effectively removed to achieve the purpose of blind detection. Then, the hopping frequency and frequency-hopping cycle can be accurately estimated with Fast Fourier Transform. Theory analysis and simulation show that the algorithm can improve the performance of detection and parameter estimation in complex electromagnetic environment.

Original languageEnglish
Title of host publicationProceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
EditorsJunbao Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages370-374
Number of pages5
ISBN (Electronic)9781509011957
DOIs
StatePublished - 5 Dec 2016
Event6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016 - Harbin, Heilongjiang, China
Duration: 21 Jul 201623 Jul 2016

Publication series

NameProceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016

Conference

Conference6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016
Country/TerritoryChina
CityHarbin, Heilongjiang
Period21/07/1623/07/16

Keywords

  • Blind detection
  • Crequency-hopping signal
  • Parameter estimation
  • Short-Time Fourier Transform

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