Journal ArticleDOI
Linear precoding assisted blind channel estimation for OFDM systems
R. Lin,Athina P. Petropulu +1 more
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TLDR
A novel precoding approach for single transmit/receiver antenna orthogonal frequency-division multiplexing (OFDM) systems that enables blind channel estimation and an optimal precoding scheme is pursued that results in minimum channel error and asymptotically minimum bit error rate.Abstract:
We propose a novel precoding approach for single transmit/receiver antenna orthogonal frequency-division multiplexing (OFDM) systems that enables blind channel estimation. A nonredundant nonunitary linear precoder is applied on each pair of blocks before they enter the OFDM system. The structure induced to the transmitted blocks allows for blind channel estimation at the receiver based on simple cross-correlation operations. At the same time, the multipath diversity of the system is increased. An optimal precoding scheme is pursued that, for quadrature phase-shift keying signals results in minimum channel error and asymptotically minimum bit error rate. Analytic performance evaluation of the proposed approach, and Cramer-Rao bound for the proposed channel estimate, are presented.read more
Citations
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Journal ArticleDOI
Blind Channel Estimation for MIMO OFDM Systems via Nonredundant Linear Precoding
Feifei Gao,Arumugam Nallanathan +1 more
TL;DR: A simple subspace-based blind channel estimation technique for orthogonal frequency-division multiplexing (OFDM) systems by utilizing nonredundant linear block precoding that can eliminate the multidimensional ambiguity in channel estimation under multiple transmitter scenarios.
Journal ArticleDOI
Subspace-Based Blind Channel Identification for Cyclic Prefix Systems Using Few Received Blocks
Borching Su,P.P. Vaidyanathan +1 more
TL;DR: Simulation results not only demonstrate the capability of the algorithm to perform blind identification using fewer received blocks, but also show that in some cases system performance can be improved by choosing a repetition index larger than needed.
Journal ArticleDOI
Blind channel estimation in MIMO OFDM systems with multiuser interference
TL;DR: The proposed channel estimation approach employs computationally simple cross-correlation operations and yields the channel up to a diagonal ambiguity and does not require channel length information and is not sensitive to additive stationary noise.
Journal ArticleDOI
Design of isotropic orthogonal transform algorithm-based multicarrier systems with blind channel estimation
TL;DR: In this article, the authors proposed linearly precoded IOTA-based multicarrier systems to achieve blind channel estimation by utilizing the structure of auto-correlation and cross correlation matrices introduced by precoding.
Journal ArticleDOI
Non-redundant precoding and PAPR reduction in MIMO OFDM systems with ICA based blind equalization
Jingbo Gao,Xu Zhu,Asoke K. Nandi +2 more
TL;DR: A non-redundant linear precoding scheme and three peak-to-average power ratio (PAPR) reduction schemes for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with independent component analysis (ICA) based blind equalization are proposed.
References
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A simple transmit diversity technique for wireless communications
TL;DR: This paper presents a simple two-branch transmit diversity scheme that provides the same diversity order as maximal-ratio receiver combining (MRRC) with one transmit antenna, and two receive antennas.
Proceedings ArticleDOI
On channel estimation in OFDM systems
TL;DR: The authors present the MMSE and LS estimators and a method for modifications compromising between complexity and performance and the symbol error rate for a 18-QAM system is presented by means of simulation results.
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An Introduction to Game Theory
TL;DR: An Introduction to Game Theory International Edition, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understand economics, social, political, and biological phenomena as discussed by the authors.
Journal ArticleDOI
OFDM channel estimation by singular value decomposition
TL;DR: The theory of optimal rank-reduction is applied to linear minimum mean-squared error (LMMSE) estimators and it is shown that these estimators, when using a fixed design, are robust to changes in channel correlation and signal-to-noise ratio (SNR).
Journal ArticleDOI
Robust channel estimation for OFDM systems with rapid dispersive fading channels
TL;DR: A minimum mean-square-error (MMSE) channel estimator is derived, which makes full use of the time- and frequency-domain correlations of the frequency response of time-varying dispersive fading channels and can significantly improve the performance of OFDM systems in a rapid dispersion fading channel.