Spectral symmetry iterative frequency estimation algorithm

Jeffrey Tsui; Sam Reisenfeld

doi:10.1109/SSP.2005.1628597

Spectral symmetry iterative frequency estimation algorithm

Jeffrey Tsui^*, Sam Reisenfeld

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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 language	English
Title of host publication	2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	229-232
Number of pages	4
ISBN (Print)	0780394046, 9780780394049
DOIs	https://doi.org/10.1109/SSP.2005.1628597
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux, France Duration: 17 Jul 2005 → 20 Jul 2005

Other

Other	2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Country/Territory	France
City	Bordeaux
Period	17/07/05 → 20/07/05

Keywords

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

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10.1109/SSP.2005.1628597

Cite this

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title = "Spectral symmetry iterative frequency estimation algorithm",

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).",

keywords = "Bandpass signal, Data aided frequency estimation, Discrete fourier transform, Frequency estimation, OFDM, Phase estimation, Ultrawide band",

author = "Jeffrey Tsui and Sam Reisenfeld",

year = "2005",

doi = "10.1109/SSP.2005.1628597",

language = "English",

isbn = "0780394046",

pages = "229--232",

booktitle = "2005 IEEE/SP 13th Workshop on Statistical Signal Processing",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2005 IEEE/SP 13th Workshop on Statistical Signal Processing ; Conference date: 17-07-2005 Through 20-07-2005",

}

Tsui, J & Reisenfeld, S 2005, Spectral symmetry iterative frequency estimation algorithm. in 2005 IEEE/SP 13th Workshop on Statistical Signal Processing., 1628597, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 229-232, 2005 IEEE/SP 13th Workshop on Statistical Signal Processing, Bordeaux, France, 17/07/05. https://doi.org/10.1109/SSP.2005.1628597

Spectral symmetry iterative frequency estimation algorithm. / Tsui, Jeffrey; Reisenfeld, Sam.

2005 IEEE/SP 13th Workshop on Statistical Signal Processing. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 229-232 1628597.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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).

KW - Bandpass signal

KW - Data aided frequency estimation

KW - Discrete fourier transform

KW - Frequency estimation

KW - OFDM

KW - Phase estimation

KW - Ultrawide band

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BT - 2005 IEEE/SP 13th Workshop on Statistical Signal Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2005 IEEE/SP 13th Workshop on Statistical Signal Processing

Y2 - 17 July 2005 through 20 July 2005

ER -

Spectral symmetry iterative frequency estimation algorithm

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