Title :
Identification of Class a Noise Parameters via Least Square Gradient Method
Author :
Zhang, Shu-Xia ; Jiang, Yu-Zhong
Author_Institution :
Coll. of Electr. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
The Middleton class A interference model is a statistical-physical and parametric model for man-made and natural electromagnetic (EM) interference. In this paper, the efficient estimation of the Class A model parameters based on least square gradient method is derived. The considered estimator converges fast and low-complexity with performance approaching theoretical optima for large data samples. Simulation of this estimator with three unknown parameters indicates that this technique is efficient.
Keywords :
electromagnetic interference; gradient methods; least squares approximations; Middleton class A interference model; electromagnetic interference; least square gradient method; Background noise; Bandwidth; Electromagnetic interference; Gaussian distribution; Gaussian noise; Gradient methods; Least squares methods; Parameter estimation; Probability density function; Working environment noise;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5300913
