2012•Harbin Ligong Daxue xuebaoOpen access

An Improved Algorithm for OFDM Symbol Timing Synchronization

Liyong Zhang

Open full text 3 citations

Abstract

Maximum likelihood algorithm(ML algorithm) has low computational complexity,and it implements OFDM synchronization estimation by the correlation between cyclic prefix and the last part symbols of OFDM,which saves the bandwidth resource of the system.So ML algorithm is one of classical OFDM synchronization algorithms.A novel algorithm is proposed by improving the timing metric function of ML algorithm.The proposed method has the advantages of ML algorithm and improves the mean error and MSE of ML algorithm at low SNR.

About this research paper

What this paper is about

Maximum likelihood algorithm(ML algorithm) has low computational complexity,and it implements OFDM synchronization estimation by the correlation between cyclic prefix and the last part symbols of OFDM,which saves the bandwidth resource of the system.So ML algorithm is one of classical OFDM synchronization algorithms.A novel algorithm is proposed by improving the timing metric function of ML algorithm.The proposed method has the advantages of ML algorithm and improves the mean error and MSE of ML algorithm at low SNR.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Maximum likelihood algorithm(ML algorithm) has low computational complexity,and it implements OFDM synchronization estimation by the correlation between cyclic prefix and the last part symbols of OFDM,which saves the bandwidth resource of the system.So ML algorithm is one of classical OFDM synchronization algorithms.A novel algorithm is proposed by improving the timing metric function of ML algorithm.The proposed method has the advantages of ML algorithm and improves the mean error and MSE of ML algorithm at low SNR.

Key concepts: Orthogonal frequency-division multiplexing, Cyclic prefix, Algorithm, Synchronization (alternating current), Computer science, Mathematics, Channel (broadcasting), Telecommunications

Related papers

Back to paper searchBrowse research topicsOriginal source
An Improved Algorithm for OFDM Symbol Timing Synchronization — Research Paper | ScholarLens