Joint Signal Parameter Estimation in Non–Gaussian Noise by the Method of Polynomial Maximization

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Abstract

This paper considers the adaptation of the method of polynomial maximization for synthesis of the polynomial algorithms of joint signal parameter estimation in non-Gaussian noise. It is shown that the nonlinear processing of samples, the moment and the cumulant description of random variables in the form of cumulant coefficients of the third and higher orders can decrease the variance of joint parameters estimation as compared with the well-known results.

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Journal of Electrical Engineering

The Journal of Slovak University of Technology

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IMPACT FACTOR 2017: 0.508
5-year IMPACT FACTOR: 0.549

CiteScore 2017: 0.78

SCImago Journal Rank (SJR) 2017: 0.205
Source Normalized Impact per Paper (SNIP) 2017: 0.506

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