LANGUAGE
English
SOURCE
Proc. Asia-Pacific Conference on Communications, Sept. 2002, Indonesia.
Published Date:2002-09-17
ABSTRACT
The prediction of the frequency non-selective fading channel behaviors is investigated. An adaptive method is implemented based on an autoregressive model of the past fading measurements in the sense of LMSE and the future fading multiplicative gain is predicted. To mitigate the influence of the noise interference and the disturbance of the non-stationary environment factors, the combination of a pre-filter and a γ-LMS prediction error filter is used. Lastly we give the performance evaluation for the prediction algorithm based on simulations. It shows that the proposed prediction scheme has improved capability in combating against the noise interference.
KEYWORDS
fading prediction, frequency non-selective fading, wireless network
Unbiased Prediction Model for Frequency Non-Selective Fading Channels
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