Spectral symmetry iterative frequency estimation algorithm

Jeffrey Tsui*, Sam Reisenfeld

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

In this paper, a new technique called the Spectral Symmetry Iterative (SSI) frequency estimation algorithm is disclosed. This algorithm can be used for estimating the frequency and phase of a wide class of signals that are bandpass in nature. This technique can precisely determine the centre frequency of this class of signal in noiseless condition and can yield frequency error variance performance that is comparable to the Cramer Rao lower bound (CRLB) on frequency estimation error of a single complex exponential in the additive white Gaussian noise (AWGN).

Original languageEnglish
Title of host publication2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages229-232
Number of pages4
ISBN (Print)0780394046, 9780780394049
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux, France
Duration: 17 Jul 200520 Jul 2005

Other

Other2005 IEEE/SP 13th Workshop on Statistical Signal Processing
CountryFrance
CityBordeaux
Period17/07/0520/07/05

Keywords

  • Bandpass signal
  • Data aided frequency estimation
  • Discrete fourier transform
  • Frequency estimation
  • OFDM
  • Phase estimation
  • Ultrawide band

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