Title :
Recovering Amplitudes and Phases From Saturated Multifrequency Sinusoid Signals
Author :
Chao Hu ; Wentai Qu ; Zhihuan Zhang ; Zhongqing Feng ; Shuang Song ; Meng, Max Q.-H.
Author_Institution :
Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China
Abstract :
In this paper, a novel method is proposed to recover and extract the original signal parameters from the saturated multifrequency sinusoid wave signals. It makes use of the zero-crossing characteristics of the multifrequency sinusoid signals, to collect valid samples in unsaturated parts of the signals. On these valid samples, the amplitudes and phases of the specific original ac sensing signals can be linearly computed by applying the least square method. The simulation results show that the proposed method has satisfactory accuracy even with very large saturation ( ~ 10 times of the saturation limit) and large dc offset, which frees us from the restriction to avoid the signal saturation problem in the signal acquisition. The method is realized by the software algorithm, and no longer requires the common used hardware-the phase sensitive detection circuit. Hence when it is applied to the magnetic coupling system, we will obtain much simpler system composition, higher accuracy, and high execution speed.
Keywords :
amplitude estimation; computerised instrumentation; least squares approximations; magnetic sensors; phase estimation; signal detection; amplitude extraction; least square method; magnetic coupling system; phase extraction; saturated multifrequency sinusoid signal; signal acquisition; signal parameter extraction; software algorithm; zero crossing characteristics; Multifrequency signal processing; amplitude and phase extraction; least square fitting method; magnetic coupling;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2013.2271673