Parameter estimation in the presence of non-Gaussian noise

Author(s):  
Horst Salzwedel
2017 ◽  
Vol 381 (4) ◽  
pp. 216-220 ◽  
Author(s):  
Xue-Lian Li ◽  
Jun-Gang Li ◽  
Yuan-Mei Wang

2016 ◽  
Vol 67 (3) ◽  
pp. 217-221 ◽  
Author(s):  
Volodymyr Palahin ◽  
Jozef Juhár

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.


2015 ◽  
Vol 14 (3) ◽  
pp. 87-94 ◽  
Author(s):  
Volodimir Palahin ◽  
◽  
Vitaliy Filipov ◽  
Serhii Leleko ◽  
Oleksandr Ivchenko ◽  
...  

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