Analysis and optimization of auto-correlation based frequency offset estimation

I. M. Ngebani, J. M. Chuma, S. Masupe

Research output: Contribution to journalArticle

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 (Formula presented.) and the correlation distance to be (Formula presented.) is optimal in that it minimizes the MSE. Simulation results are provided to validate the analysis and optimization.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalSAIEE Africa Research Journal
Volume106
Issue number3
Publication statusPublished - Sep 1 2015

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Autocorrelation
Mean square error

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Analysis and optimization of auto-correlation based frequency offset estimation. / Ngebani, I. M.; Chuma, J. M.; Masupe, S.

In: SAIEE Africa Research Journal, Vol. 106, No. 3, 01.09.2015, p. 162-167.

Research output: Contribution to journalArticle

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