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- 2017
Data-Aided Frequency Offset Estimation with Narrowband Interference
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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.
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.
