2007Unpublished venueRequires access

A Simple Blind CFO Estimation Algorithm for Multi-User OFDM System

Tianpeng Ren, Eryang Zhang

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Abstract

Based on the criterion of maximum likelihood (ML), a blind carrier frequency offset (CFO) estimation algorithm for multi-user OFDM system is proposed when the demodulated data are sent to the CFO estimation module. This proposed algorithm is not optimal but it has advantages such as no cyclic prefix, low complexity. Corroborating simulations reveal its performance merits.

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What this paper is about

Based on the criterion of maximum likelihood (ML), a blind carrier frequency offset (CFO) estimation algorithm for multi-user OFDM system is proposed when the demodulated data are sent to the CFO estimation module. This proposed algorithm is not optimal but it has advantages such as no cyclic prefix, low complexity. Corroborating simulations reveal its performance merits.

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Available abstract

Based on the criterion of maximum likelihood (ML), a blind carrier frequency offset (CFO) estimation algorithm for multi-user OFDM system is proposed when the demodulated data are sent to the CFO estimation module. This proposed algorithm is not optimal but it has advantages such as no cyclic prefix, low complexity. Corroborating simulations reveal its performance merits.

Key concepts: Cyclic prefix, Carrier frequency offset, Orthogonal frequency-division multiplexing, Computer science, Algorithm, Estimation, Maximum likelihood, Offset (computer science)

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