This paper investigates the Class A noise model, and proposes a method to determine parameters of the model based on maximum likelihood estimation. The method uses FFT to reduce computation complexity and enhance performance by calculating two data groups from the original observed data. A method for estimating initial values is also proposed. Simulation results show that the method has good performance with a small number of iterations, and therefore is suitable for practical applications.
JIANG Yu-zhong, YING Wen-wei, LIU Yue-liang
. Fast Maximum Likelihood Estimation of Class A Model[J]. Journal of Applied Sciences, 2013
, 31(2)
: 165
-169
.
DOI: 10.3969/j.issn.0255-8297.2013.02.010
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