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Asymptotically minimum variance second-order estimation for complex circular processes
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DOI：10.1016/j.sigpro.2005.10.011.png)
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Abstract
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This paper addresses asymptotically minimum variance (AMV) of parameter estimators within the class of algorithms based on second-order statistics for estimating parameter of strict-sense stationary complex circular processes. As an application, the estimation of the frequencies of cisoids for mixed spectra time series containing a sum of cisoids and an MA process is considered. (c) 2005 Elsevier B.V. All rights reserved.
Keywords:
asymptotically minimum variance algorithms
covariance matching estimation techniques
frequency estimation of mixed complex circular processes
second-order statistics-based algorithms
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