2002Journal of Circuits and SystemsRequires access

The Application of Wavelet Model in the Blind Estimation of Time-Varying Channel

Yushan Li

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Abstract

The current blind equalization and blind channel identification methods mainly consider the time-invariant channel. While a time-varying channel is taken into account, the conventional adaptive methods often neglect the interrelated characteristics and they can抰 perform well in time-varying channel equalization and identification. In this paper while incorporation of the channel抯 time-varying characteristics is called for, we model the time-varying channel using the multi-resolution decomposition wavelets, and then a blind identification method based on the model is proposed.

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What this paper is about

The current blind equalization and blind channel identification methods mainly consider the time-invariant channel. While a time-varying channel is taken into account, the conventional adaptive methods often neglect the interrelated characteristics and they can抰 perform well in time-varying channel equalization and identification. In this paper while incorporation of the channel抯 time-varying characteristics is called for, we model the time-varying channel using the multi-resolution decomposition wavelets, and then a blind identification method based on the model is proposed.

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Available abstract

The current blind equalization and blind channel identification methods mainly consider the time-invariant channel. While a time-varying channel is taken into account, the conventional adaptive methods often neglect the interrelated characteristics and they can抰 perform well in time-varying channel equalization and identification. In this paper while incorporation of the channel抯 time-varying characteristics is called for, we model the time-varying channel using the multi-resolution decomposition wavelets, and then a blind identification method based on the model is proposed.

Key concepts: Channel (broadcasting), Blind equalization, Wavelet, Computer science, Identification (biology), Equalization (audio), LTI system theory, Control theory (sociology)

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