DocumentCode
1128138
Title
Deterministic Blind Channel Estimation for a Block Transmission System Using Fractional Sampling and Interpolation
Author
Murakami, Hideo
Author_Institution
Kanazawa Inst. of Technol., Kanazawa
Volume
55
Issue
10
fYear
2007
Firstpage
4969
Lastpage
4978
Abstract
This paper introduces a blind channel estimation method for a block transmission system using fractional sampling at a receiver. In most digital communication systems, low-pass filters are placed at a transmitter to confine the transmitting waveform to an allocated bandwidth and at a receiver to improve the signal-to-noise (SNR) power ratio. Consequently, if the received waveform is sampled with sufficiently fast rate, the resulting discrete-time signal is band-limited and exhibits a smooth waveform. The method exploits this property for estimating the channel impulse response, via an interpolation formula. The method does not require knowledge of input statistics or the autocorrelation of the received signal. It is free of channel order estimation and thus robust against its overestimation. Moreover, the algorithm is quite efficient because it does not need to compute eigenvalues of a matrix.
Keywords
bandwidth allocation; channel estimation; digital communication; eigenvalues and eigenfunctions; interpolation; low-pass filters; matrix algebra; sampling methods; bandwidth allocation; blind channel estimation; block transmission system; digital communication systems; eigenvalues; fractional sampling; interpolation; low pass filters; matrix; signal to noise power ratio; Autocorrelation; Bandwidth; Blind equalizers; Digital communication; Digital filters; Interpolation; Low pass filters; Sampling methods; Statistics; Transmitters; Blind channel estimation; block transmission; deterministic estimation; fractionally sampled estimation; interpolation; orthogonal-frequency-division multiplexing (OFDM);
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2007.896289
Filename
4305451
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