Proceedings ArticleDOI
Blind and semi-blind channel identification methods using second order statistics for OFDM systems
B. Muquet,M. de Courville +1 more
- Vol. 5, pp 2745-2748
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TLDR
Two new blind channel identification methods suited to multicarrier system (OFDM) exploiting the redundancy introduced by the adjunction of a cyclic prefix at the emitter and relying on the evaluation of the received signal autocorrelation matrix are presented.Abstract:
Two new blind channel identification methods suited to multicarrier system (OFDM) exploiting the redundancy introduced by the adjunction of a cyclic prefix at the emitter and relying on the evaluation of the received signal autocorrelation matrix are presented. The proposed algorithms are able to identify any channel without any constraint on their zeroes location (including non-minimum phase channels) and are robust to the addition of white noise. Moreover a further enhancement of the estimation accuracy can easily be achieved by taking advantage of already present training symbols in current systems operating in a semi-blind context. Furthermore one of the two identification strategies has a very low arithmetical complexity which makes it particularly attractive in practice. Notice that these methods are not restricted to classical DFT-type modulators and still apply with any perfect reconstruction modulator.read more
Citations
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Journal ArticleDOI
Subspace-based blind and semi-blind channel estimation for OFDM systems
TL;DR: Identifiability results are provided, showing that in the (theoretical) situation where channel zeros are located on subcarriers, the algorithm does not ensure uniqueness of the channel estimation, unless the full noise subspace is considered.
Journal ArticleDOI
Distributed Compressive Spectrum Sensing in Cooperative Multihop Cognitive Networks
Fanzi Zeng,Chen Li,Zhi Tian +2 more
TL;DR: Simulations testify the effectiveness of the proposed cooperative sensing approach in multi-hop CR networks and a decentralized consensus optimization algorithm is derived to attain high sensing performance at a reasonable computational cost and power overhead.
Journal ArticleDOI
Subspace-based blind channel estimation for OFDM by exploiting virtual carriers
Chengyang Li,Sumit Roy +1 more
TL;DR: A subspace blind channel estimation method based on exploiting the presence of virtual carriers is proposed for OFDM systems over a time-dispersive channel and provides the OfDM systems the potential to achieve higher channel utilization than most previously reported cyclic prefix based estimators.
Journal ArticleDOI
Totally blind channel estimation for OFDM on fast varying mobile radio channels
Marc C. Necker,Gordon L. Stuber +1 more
TL;DR: A new blind channel estimation scheme for orthogonal frequency division multiplexing systems is proposed based on the maximum likelihood principle and, by avoiding the use of second- and higher-order statistics, a very fast convergence rate is achieved.
Proceedings ArticleDOI
A subspace based blind and semi-blind channel identification method for OFDM systems
TL;DR: In this paper, a new subspace method performing the blind and semi-blind identification of the transmission channel suited to multicarrier systems with cyclic prefix (OFDM) is proposed.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
Multicarrier modulation for data transmission: an idea whose time has come
TL;DR: The general technique of parallel transmission on many carriers, called multicarrier modulation (MCM), is explained, and the performance that can be achieved on an undistorted channel and algorithms for achieving that performance are discussed.
Journal ArticleDOI
Subspace methods for the blind identification of multichannel FIR filters
TL;DR: This paper addresses a problem arising in a context of digital communications by exploiting an orthogonality property between "signal" and "noise" subspaces to build some quadratic form whose minimization yields the desired estimates up to a scale factor.
Journal ArticleDOI
A least-squares approach to blind channel identification
TL;DR: A new blind identification algorithm based solely on the system outputs is proposed and necessary and sufficient identifiability conditions in terms of the multichannel systems and the deterministic input signal are presented.
Journal ArticleDOI
Orthogonal transmultiplexers in communication: a review
TL;DR: This paper presents conventional and emerging applications of orthogonal synthesis/analysis transform configurations (transmultiplexer) in communications and tries to increase the visibility of emerging communication applications of Orthogonal filter banks to generate more research activity in the signal processing community on these topics.