Signal Reconstruction and Frequency Estimation of A Biased and Noisy Sinusoidal Signal
Based on the sampled data of a sinusoidal signal corrupted by unknown constant bias and noise with non-zero mean, a simple and novel approach is proposed to reconstruct the sinusoidal signal having same frequency as the original signal but free from unknown constant bias.Moreover, the noisy component of reconstructed signal have a zero mean no matter what the mean value of noisy component of original signal is. Then, an extended Kalman Filter is employed to estimate the frequency of the new sinusoidal signal. Simulation results show that the proposed method is suitable for fast and reliable frequency estimation of unknown noisy sinusoidal signal whose frequency changes abruptly.
Zhengyun Ren Da Zheng Edgar C. Tamayo
Information Science and Technology, Donghua University, Shanghai 201620, China Department of Chemical and Materials Engineering,University of Alberta, Edmonton, Alberta T6G2V4, Ca Syncrude Canada Ltd., Fort Mcmurray, Alberta T9H3L1, Canada
国际会议
2011 International Symposium on Advanced Control of Industrial Processes(2011工业过程先进控制技术国际研讨会)
杭州
英文
553-558
2011-05-01（万方平台首次上网日期，不代表论文的发表时间）