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Linear prediction approach to oversampling parameter estimation for multiple complex sinusoids
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DOI：10.1016/j.sigpro.2011.12.003.png)
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Abstract
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The problem of oversampling parameter estimation for noisy sinusoidal signals is addressed. We first extend the weighted least squares (WLS) approach to the complex sinusoids. Then the oversampling weighted least squares (OSWLS) estimator is proposed based on data decimation. Estimation performance of the OSWLS method is analyzed via theoretical and simulation studies. Results are also compared to those of the WLS and decimative unitary ESPRIT methods as well as Cramer-Rao lower bound. (C) 2011 Elsevier B.V. All rights reserved.
Keywords:
Sinusoidal parameter estimation
Linear prediction
Weighted least squares
Oversampling
Decimation
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