Parameter estimation of non-modulated or modulated Frequency-Hopping signals

Zhang Qin, Liu Yanhui, Zhang Xinxiang

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

1 Citation (Scopus)

Abstract

It is a very effective way to use time-frequency distribution to analyze the Frequency-Hopping (FH) signals. There are a variety of time-frequency analysis methods, in which wavelet transform's time-frequency distribution of the signal is very sensitive to noise, and Wigner-Ville distribution has a good time-frequency aggregation but the presence of severe crosstalk analysis of multi-component signals. Classic STFT is a good time-frequency tools, but cannot obtain a higher time resolution and frequency resolution at the same time. In this paper, the classical STFT algorithm is improved to work well in lower SNR by using image processing, and further improve time resolution at the same time combined with the differential frequency discrimination in high SNR. Experimental results show that reasonable input parameters will improve the performance of frequency hopping signal parameter estimation.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
Publication statusPublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • Estimation
  • Frequency-Hopping
  • STFT

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