Data-Aided Frequency Offset Estimation with Narrowband Interference

Jie Yang; Jiahua Cao; Hang Tu; Jing Luo

doi:10.15918/j.jbit1004-0579.201726.0115

Data-Aided Frequency Offset Estimation with Narrowband Interference

Jie Yang^*, Jiahua Cao, Hang Tu, Jing Luo

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

An algorithm for carrier frequency offset estimation with narrowband interference in burst-mode transmissions is proposed. The algorithm is data-aided and has a feedforward structure that can be easily implemented digitally. The principle of the algorithm is based on a properly designed training sequence and an interpolation technique. Simulation results indicate that the estimation range is about ±20% of the symbol rate. The performance is satisfactory for a signal-to-noise ratio (SNR) as low as -13 dB and the mean square error (MSE) is approximately irrelevant to signal-to-interference ratio (SIR) values over -20 dB.

Original language	English
Pages (from-to)	100-105
Number of pages	6
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	26
Issue number	1
DOIs	https://doi.org/10.15918/j.jbit1004-0579.201726.0115
Publication status	Published - 1 Mar 2017

Keywords

Frequency offset estimation
Narrowband interference
Synchronization

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10.15918/j.jbit1004-0579.201726.0115

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title = "Data-Aided Frequency Offset Estimation with Narrowband Interference",

abstract = "An algorithm for carrier frequency offset estimation with narrowband interference in burst-mode transmissions is proposed. The algorithm is data-aided and has a feedforward structure that can be easily implemented digitally. The principle of the algorithm is based on a properly designed training sequence and an interpolation technique. Simulation results indicate that the estimation range is about ±20% of the symbol rate. The performance is satisfactory for a signal-to-noise ratio (SNR) as low as -13 dB and the mean square error (MSE) is approximately irrelevant to signal-to-interference ratio (SIR) values over -20 dB.",

keywords = "Frequency offset estimation, Narrowband interference, Synchronization",

author = "Jie Yang and Jiahua Cao and Hang Tu and Jing Luo",

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AU - Yang, Jie

AU - Cao, Jiahua

AU - Tu, Hang

AU - Luo, Jing

PY - 2017/3/1

Y1 - 2017/3/1

N2 - An algorithm for carrier frequency offset estimation with narrowband interference in burst-mode transmissions is proposed. The algorithm is data-aided and has a feedforward structure that can be easily implemented digitally. The principle of the algorithm is based on a properly designed training sequence and an interpolation technique. Simulation results indicate that the estimation range is about ±20% of the symbol rate. The performance is satisfactory for a signal-to-noise ratio (SNR) as low as -13 dB and the mean square error (MSE) is approximately irrelevant to signal-to-interference ratio (SIR) values over -20 dB.

AB - An algorithm for carrier frequency offset estimation with narrowband interference in burst-mode transmissions is proposed. The algorithm is data-aided and has a feedforward structure that can be easily implemented digitally. The principle of the algorithm is based on a properly designed training sequence and an interpolation technique. Simulation results indicate that the estimation range is about ±20% of the symbol rate. The performance is satisfactory for a signal-to-noise ratio (SNR) as low as -13 dB and the mean square error (MSE) is approximately irrelevant to signal-to-interference ratio (SIR) values over -20 dB.

KW - Frequency offset estimation

KW - Narrowband interference

KW - Synchronization

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Data-Aided Frequency Offset Estimation with Narrowband Interference

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Keywords

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