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2006•Unpublished venueRequires access

Blind Identification of OFDM Signal in Rayleigh Channels

Bin Wang, Lindong Ge

Open publisher page 11 citations

Abstract

This paper proposes an algorithm for the blind identification of OFDM (orthogonal frequency division multiplexing) signal from the single-carrier modulated signals in the Rayleigh channels. The algorithm doesn't need any prior knowledge of the signals, such as SNR (signal to noise ratio), symbol rate and carrier frequency, and deals with the bandpass signals directly avoiding the carrier recovering process. Simulation results prove the feasibility and show that an over 95% correct classification rate could be reached when the SNR is above 0 dB

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What this paper is about

This paper proposes an algorithm for the blind identification of OFDM (orthogonal frequency division multiplexing) signal from the single-carrier modulated signals in the Rayleigh channels. The algorithm doesn't need any prior knowledge of the signals, such as SNR (signal to noise ratio), symbol rate and carrier frequency, and deals with the bandpass signals directly avoiding the carrier recovering process. Simulation results prove the feasibility and show that an over 95% correct classification rate could be reached when the SNR is above 0 dB

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper proposes an algorithm for the blind identification of OFDM (orthogonal frequency division multiplexing) signal from the single-carrier modulated signals in the Rayleigh channels. The algorithm doesn't need any prior knowledge of the signals, such as SNR (signal to noise ratio), symbol rate and carrier frequency, and deals with the bandpass signals directly avoiding the carrier recovering process. Simulation results prove the feasibility and show that an over 95% correct classification rate could be reached when the SNR is above 0 dB

Key concepts: Orthogonal frequency-division multiplexing, Identification (biology), SIGNAL (programming language), Computer science, Blind equalization, Signal processing, Electronic engineering, Channel (broadcasting)

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