Performance analysis of a correlator based maximum likelihood frequency estimator

Sithamparanathan Kandeepan*, Sam Reisenfeld

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In this paper we discuss the performance of a correlator based frequency estimator (CE). The estimator is statistically analysed for single-tone frequency estimation for an additive white Gaussian noise (AWGN) channel. The CE is a maximum likelihood estimator (ML) [7] which theoretically achieves the Cramer-Rao lower bound (CRB) [7] if properly implemented. Frequency estimates on the received single-tone signal are made by correlating the received signal with a locally generated signal by varying the frequency, and maximizing the energy at the output of the correlator. The statistical distribution of the frequency estimates, made by the CE is studied; we consider four different cases as discussed in the paper for the distribution, whilst providing simulation results to verify the analysis.

Original languageEnglish
Title of host publication2004 International Conference on Signal Processing and Communications, SPCOM
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages169-173
Number of pages5
ISBN (Print)0780386744, 9780780386747
Publication statusPublished - 2004
Externally publishedYes
Event2004 International Conference on Signal Processing and Communications, SPCOM - Bangalore, India
Duration: 11 Dec 200414 Dec 2004

Other

Other2004 International Conference on Signal Processing and Communications, SPCOM
CountryIndia
CityBangalore
Period11/12/0414/12/04

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