Parameter estimation for sinusoidal signals using signal phase matching principle in the autocorrelation domain
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Abstract
The accuracy of parameter estimation for sinusoidal signals is further improved by intercepting a signal into M segments with equal or varying intervals after autocorrelation.Especially the varying interval can eliminate most of false peaks.Simulation results show that the method using signal phase matching principle(SPMP) in the autocorrelation domain has a better performance than that using SPMP in the frequency domain.
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