2006
DOI: 10.1155/2007/25672
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A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders

Abstract: It is well known that redundant filter bank precoders can be used for blind identification as well as equalization of FIR channels. Several algorithms have been proposed in the literature exploiting trailing zeros in the transmitter. In this paper we propose a generalized algorithm of which the previous algorithms are special cases. By carefully choosing system parameters, we can jointly optimize the system performance and computational complexity. Both time domain and frequency domain approaches of channel id… Show more

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Cited by 18 publications
(38 citation statements)
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“…In order to reduce the amount of required data, we will use the idea of "repetition index," which first arose in a blind channel estimation problem [4]. The idea of repetition index is to repeatedly use each received block and has successfully reduced the number of received blocks needed for blind channel estimation problem in ZP and CP systems, as reported in [3], [4], and [10].…”
Section: Proposed Algorithm For Zp Systemsmentioning
confidence: 99%
See 4 more Smart Citations
“…In order to reduce the amount of required data, we will use the idea of "repetition index," which first arose in a blind channel estimation problem [4]. The idea of repetition index is to repeatedly use each received block and has successfully reduced the number of received blocks needed for blind channel estimation problem in ZP and CP systems, as reported in [3], [4], and [10].…”
Section: Proposed Algorithm For Zp Systemsmentioning
confidence: 99%
“…The idea of repetition index is to repeatedly use each received block and has successfully reduced the number of received blocks needed for blind channel estimation problem in ZP and CP systems, as reported in [3], [4], and [10]. By properly applying this idea, we can develop blind block synchronization algorithms using less data.…”
Section: Proposed Algorithm For Zp Systemsmentioning
confidence: 99%
See 3 more Smart Citations