DocumentCode
1619297
Title
Optimal design and adaptive implementation of power estimation using the Hammerstein model
Author
Huang, Aiping ; Laakso, Timo I.
Author_Institution
Lab. of Signal Process. & Comput. Technol., Helsinki Univ. of Technol., Espoo, Finland
Volume
2
fYear
1996
Firstpage
648
Abstract
Optimal power estimation problem is investigated in this paper. The method of optimizing the Hammerstein model is introduced for the power estimation of real-valued stationary signals. An adaptive algorithm for nonstationary signals is developed. These enable an effective and accurate estimation of the signal power transmitted in a noisy environment like a fading mobile channel
Keywords
FIR filters; adaptive estimation; adaptive filters; fading; filtering theory; noise; parameter estimation; signal processing; Hammerstein model; adaptive algorithm; adaptive implementation; fading mobile channel; noisy environment; nonstationary signals; optimal design; power estimation; real-valued stationary signals; AWGN; Adaptive signal processing; Additive white noise; Filtering; Finite impulse response filter; Gaussian noise; Noise reduction; Nonlinear filters; Telecommunication computing; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location
Ames, IA
Print_ISBN
0-7803-3636-4
Type
conf
DOI
10.1109/MWSCAS.1996.587816
Filename
587816
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