ANALYSIS AND OPTIMIZATION OF AUTO-CORRELATION BASED FREQUENCY OFFSET ESTIMATION

Journal article

Authors/Editors

Chuma, Joseph

Research Areas

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Publication Details

Author list: Ngebani IM, Chuma JM, Masupe S

Publisher: SAIEE Publications (Pty) Ltd

Place: JOHANNESBURG

Publication year: 2015

Journal: Africa Research Journal (1991-1696)

Journal acronym: SAIEE AFR RES J

Volume number: 106

Issue number: 3

Start page: 162

End page: 167

Number of pages: 6

ISSN: 1991-1696

Languages: English-Great Britain (EN-GB)

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Abstract

In this letter, a general auto-correlation based frequency offset estimation (FOE) algorithm is analyzed. An approximate closed-form expression for the Mean Square Error (MSE) of the FOE is obtained, and it is proved that, given training symbols of fixed length N, choosing the number of summations in the auto-correlation to be < N/3 > and the correlation distance to be < 2N/3 > is optimal in that it minimizes the MSE. Simulation results are provided to validate the analysis and optimization.

Keywords

Auto-correlation, frequency offset estimation, Optimization, performance analysis, un-biased estimator

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