Hop period estimation for frequency hopping signals based on Hilbert-Huang transform

Ye Yuan*, Wen Bo Mei, Si Liang Wu, Qi Yuan

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

A method for estimating the hop period of frequency hopping (FH) signals based on Hilbert-Huang transform (HHT) is proposed. This method iteratively decomposes the FH signal into intrinsic mode functions (IMFs) and applies Hilbert transform to each IMF to yield Hilbert spectrum, whose maxima for each time instant are extracted to form a sequence. A simple Fourier transform based analysis of the obtained sequence provides the estimate of hop period for a FH signal. The proposed method is fully cross-term free, and it does not make any assumption about the parameter information. The performance of the method is evaluated in terms of estimation variances in the presence of Gaussian white noise.

Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages452-455
Number of pages4
DOIs
Publication statusPublished - 2008
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008

Publication series

NameProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Volume5

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
Country/TerritoryChina
CitySanya, Hainan
Period27/05/0830/05/08

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