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Consistent Nonparametric Spectrum Estimation Via Cepstrum Thresholding
Moram Venkatanarayana , T. Jayachandra Prasad
Pages - 292 - 303     |    Revised - 30-11-2010     |    Published - 20-12-2010
Volume - 4   Issue - 5    |    Publication Date - December 2010  Table of Contents
Cepstrum, Cramer Rao Lower Bound, Consistency, Unbiasedness
For stationary signals, there are number of power spectral density estimation techniques. The main problem of power spectral density (PSD)estimation methods is high variance. Consistent estimates may be obtained by suitable processing of the empirical spectrum estimates (periodogram). This may be done using window functions. These methods all require the choice of a certain resolution parameters called bandwidth. Various techniques produce estimates that have a good overall bias Vs variance tradeoff. In contrast, smooth components of this spectral required a wide bandwidth in order to achieve a significant noise reduction. In this paper, we explore the concept of cepstrum for non parametric spectral estimation. The method developed here is based on cepstrum thresholding for smoothed non parametric spectral estimation. The algorithm for Consistent Minimum Variance Unbiased Spectral estimator is developed and implemented, which produces good results for Broadband and Narrowband signals.
CITED BY (2)  
1 Sridhar, B., & Tadisetty, S. (2015, June). ERLS non parametric spectrum sensing for CR. In Advance Computing Conference (IACC), 2015 IEEE International (pp. 185-190). IEEE.
2 Venkatanarayana, M. (2014). Variance reduction in power spectrum using cepstral thresholding appraoch.
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Associate Professor Moram Venkatanarayana
K.S.R.M.College of Engg., - India
Dr. T. Jayachandra Prasad
RGMCET - India

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