DocumentCode
2114514
Title
Generation and Estimation of Parameters of Simplified Middleton Class B Noise
Author
Jiang, Yu-Zhong ; Hu, Xiu-lin ; Zhang, Shu-Xia ; Zhai, Qi ; Zhou, An-Dong
Author_Institution
Univ. of Sci. & Technol., Wuhan
fYear
2007
fDate
4-9 March 2007
Firstpage
27
Lastpage
27
Abstract
Conventional linear receivers which are effective and optimum for white Gaussian noise can drastically degrade the performance or even made ineffective when operating against non-Gaussian noise. On the other hand, the performance of communications operating in such impulsive channels can be greatly enhanced if the true statistics of the channel are known and exploited. The Middleton interference model is statistical-physical and parametric model for man-made and natural electromagnetic (EM) interference. In this letter, the efficient estimation of the Class B model parameters based on least square gradient method is derived. The considered estimator is fast converges 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
AWGN channels; electromagnetic interference; impulse noise; least squares approximations; parameter estimation; radio receivers; statistical analysis; Middleton interference model; electromagnetic interference; impulsive channels; least square gradient method; linear receivers; parameter estimation; parameter generation; parametric model; simplified Middleton class B noise; statistical-physical model; white Gaussian noise; Bandwidth; Circuit noise; Degradation; Electromagnetic interference; Gaussian noise; Noise generators; Noise level; Parameter estimation; Parametric statistics; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless and Mobile Communications, 2007. ICWMC '07. Third International Conference on
Conference_Location
Guadeloupe
Print_ISBN
0-7695-2796-5
Electronic_ISBN
0-7695-2796-5
Type
conf
DOI
10.1109/ICWMC.2007.42
Filename
4138132
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