实复转换式衰减信号参数估计算法

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Abstract To suppress the influence of negative frequency component of a damp real-value sinusoidal signal on parameter estimation, a real-to-complex-transformation parameter estimation algorithm is proposed. First, the index number bin of spectrum of sampled signal with the highest magnitude is pre-estimated. Second, the reference signal that only contains negative frequency component is constructed, and the real-value signal is converted into a complex-value signal by subtracting the reference signal form the sampled signal to suppress the spectrum leakage influence of the negative frequency component. Then, the coarse frequency offset, damping factor and complex amplitude are estimated by a two-point spectrum interpolation algorithm, and the reference signal and the complex signal are rebuilt. Finally, the signal parameters, i.e. frequency, damping factor, initial amplitude and initial phase are obtained by an iterative procedure. The results of simulation experiments for frequency estimation indicate that the proposed method can eliminate the influence of negative frequency component, improve estimation accuracy under medium or high SNRs, especially, the signal frequency is low, and improves the overall performance of frequency estimation. Moreover, the measurement experiments are performed on Coriolis mass flowmeter, and the efficacy of the proposed method is validated.

Key words： real-to-complex-transformation parameter estimation negative frequency component spectrum leakage damped real-value signal Coriolis mass flowmeter

Received: 17 January 2019 Published: 15 July 2020

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	Articles by authors
	CHEN Peng1
	TU Yaqing1
	SHEN Yanlin2
	MOU Zelong1
	LI Ming1

Cite this article:

CHEN Peng1,TU Yaqing1,SHEN Yanlin2, et al. Real-to-complex-transformation parameter estimation algorithm for damped real-value sinusoidal signals[J]. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(14): 53-58.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2020/V39/I14/53

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