Channel Identification with Linear Time-Varying Channel Model for Pilot Channel Aided DS/CDMA Systems

Joo, Jung Suk

doi:10.1093/ietcom/e89-b.9.2652

IEICE Transactions on Communications

2006

DOI: 10.1093/ietcom/e89-b.9.2652

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Channel Identification with Linear Time-Varying Channel Model for Pilot Channel Aided DS/CDMA Systems

Jung Suk Joo¹

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2008

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“…There has been a tremendous amount of research on time-invariant linear system identification with both blind and non-blind (using training signals) methods 1 This is, however, not equally the case for time-variant linear system identification. Some researches on this topic have appeared, such as [1][2][3][4][5][6][7][8][9][10], and increasing attention has being paid mainly because of the need of wireless high speed data communications.…”

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Channel Identification under Doppler and Time Shifts using Mixed Training Signals

Xia¹

2008

J. Integral Equations Applications

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Channel identification in the presence of Doppler is not as well studied as the one free from Doppler due to the difficulty caused from the time-varying characteristics of the channel. In this paper, we present a method to identify channels with both Doppler and time shifts using mixed training signals. The training signals we use consist of two parts, where one part is a constant and the other part is a conventional training signal, such as a pseudo-random signal or a chirp signal. These two parts in a training signal may be separated either in the time domain or in the frequency domain. The constant signal part is used to identify the Doppler shifts and the other part is used to identify the time shifts. We provide a necessary and sufficient condition on the channel identifiability in terms of the time and Doppler shifts when mixed training signals are used. It can be shown that the condition holds almost surely in most cases of interest in practice.

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Channel Identification under Doppler and Time Shifts using Mixed Training Signals

Xia¹

2008

J. Integral Equations Applications

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Channel Identification with Linear Time-Varying Channel Model for Pilot Channel Aided DS/CDMA Systems

Cited by 1 publication

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Channel Identification under Doppler and Time Shifts using Mixed Training Signals

Channel Identification under Doppler and Time Shifts using Mixed Training Signals

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