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Parameter Estimation of Bernoulli-Gaussian Noise Using Fractional Order Absolute Moments | IEEE Journals & Magazine | IEEE Xplore

Parameter Estimation of Bernoulli-Gaussian Noise Using Fractional Order Absolute Moments


Abstract:

The prior information of impulsive noise at receiver will improve the performance of the communication systems impaired by impulsive noise. Therefore, parameters estimati...Show More

Abstract:

The prior information of impulsive noise at receiver will improve the performance of the communication systems impaired by impulsive noise. Therefore, parameters estimation techniques of Bernoulli-Gaussian noise are studied in this letter. A Fractional Order absolute Moment-based Estimator (FOME) is proposed and the Asymptotic Normalized Mean Square Error (ANMSE) of the FOME is derived. Both the ANMSE and simulation results show that the FOME performs better than the 1,2,3-order moment-based estimator, and the performance of the FOME will approach the expectation maximization estimator with the increase of the received signal length.
Published in: IEEE Communications Letters ( Volume: 27, Issue: 1, January 2023)
Page(s): 312 - 316
Date of Publication: 30 September 2022

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