A Frequency Estimation Comparison between the Modified Covariance Method and the Fourier Transform
نویسندگان
چکیده
Fourier methods give excellent frequency estimation performance with either single complex exponentials or long data lengths. For multiple exponentials parametric techniques offer superior resolution. This work examines the signal conditions which determine the choice of a particular method. Equations are developed that describe the Fourier performance with data length, SNR and relative frequencies and amplitudes. Optimal methods are identified for a spectrum of conditions. Key-Words: Bias, Cramér-Rao bound, Fourier transform, Frequency estimation, Modified covariance, Variance
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