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2018•Unpublished venueRequires access

A non-data-aided algorithm based on ML for OFDM synchronization

Jiancheng An, Lu Gan, Hongshu Liao

Open publisher page 7 citations

Abstract

Orthogonal frequency division multiplexing (OFDM) is more sensitive to symbol timing offset (STO) and carrier frequency offset (CFO) than single-carrier signals, which requires more accurate synchronization algorithms. In this paper, the traditional ML synchronization algorithm is improved by accumulating multiple OFDM symbols, and joint estimation of symbol timing offset and carrier frequency offset is accomplished without data aiding. The simulation illustrates that the improved ML algorithm has a higher accuracy for STO estimation and a lower MSE for CFO estimation.

About this research paper

What this paper is about

Orthogonal frequency division multiplexing (OFDM) is more sensitive to symbol timing offset (STO) and carrier frequency offset (CFO) than single-carrier signals, which requires more accurate synchronization algorithms. In this paper, the traditional ML synchronization algorithm is improved by accumulating multiple OFDM symbols, and joint estimation of symbol timing offset and carrier frequency offset is accomplished without data aiding. The simulation illustrates that the improved ML algorithm has a higher accuracy for STO estimation and a lower MSE for CFO estimation.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Orthogonal frequency division multiplexing (OFDM) is more sensitive to symbol timing offset (STO) and carrier frequency offset (CFO) than single-carrier signals, which requires more accurate synchronization algorithms. In this paper, the traditional ML synchronization algorithm is improved by accumulating multiple OFDM symbols, and joint estimation of symbol timing offset and carrier frequency offset is accomplished without data aiding. The simulation illustrates that the improved ML algorithm has a higher accuracy for STO estimation and a lower MSE for CFO estimation.

Key concepts: Carrier frequency offset, Orthogonal frequency-division multiplexing, Frequency offset, Synchronization (alternating current), Computer science, Offset (computer science), Preamble, Algorithm

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