A Frequency-Time Algorithm of Parameter Estimation for Sinusoidal Signal in Noise

Peng Chen; Qin Chen; Zhijun Xie; Xiaohui Chen; Shaomei Zhao

doi:10.2478/msr-2021-0005

Abstract

In this paper, a computationally efficient and high precision parameter estimation algorithm with frequency-time combination is proposed to improve the estimation performance for sinusoidal signal in noise, which takes the advantages of frequency- and time-domain algorithms. The noise influence is suppressed through spectrum analysis to get coarse frequency, and the fine frequency is obtained by denoising filtering and using linear prediction property. Then, estimation values of the amplitude and initial phase are obtained. The numerical results indicate that the proposed algorithm makes up for the shortcomings of frequency- and time-domain algorithms and improves the anti-interference performance and parameter estimation accuracy for sinusoidal signal.

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A Frequency-Time Algorithm of Parameter Estimation for Sinusoidal Signal in Noise

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