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2010 IEEE International Conference on Communications

作者： Chiang, Chin-Te Fung, Carrson C. Natl Chiao Tung Univ Dept Elect Engn Hsinchu 300 Taiwan

ISBN: (纸本)9781424464043

A robust superimposed training sequence design is proposed for spatially correlated MIMO channel estimation. The proposed scheme does not require accurate knowledge about the spatial correlation matrix and it is shown to outperform robust correlated MIMO channel estimators such as relaxed MMSE (RMMSE) and least-squares-RMMSE (LSRMMSE). Since the training sequence is overlaid into the data stream, spectral efficiency of the system is higher than those that use time-multiplex pilots. A solution for the sequence can be obtained easily by using an iterative algorithm which is guaranteed to converge as long as the training sequence matrix is initialized to have full rank.

关键词： MIMO spatial correlation superimposed training sequence robust channel estimation affine precoder

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Iterative Training Signal Design for MIMO Multiuser Systems

Iterative Training Signal Design for MIMO Multiuser Systems

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IEEE International Conference of Region 10 (TENCON)

作者： Fung, Carrson C. Wong, Yu-Ting Natl Chiao Tung Univ Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9781479928255;9781479928279

An iterative training sequence design scheme called Iterative SuperImposed training sequence design with Multiple Interferers, or ISIMI, is proposed for estimating MIMO channels with colored noise. The proposed approach decomposes the MIMO channel and design the training sequence on a per channel basis, thus making the use of sequential minimum mean-squared error (MMSE) estimator ideal for channel estimation. The time-multiplexed-superimposed training (TM-SIT) transmission format is also proposed to accommodate the different training sequences obtained via the proposed ISIMI method. The proposed approach does not use nonlinear optimization as utilized in previous literature, nor make any assumption about the lack of interdependence between the transmitter and receiver. The approach can be proven to converge to at least a local optimal solution and is shown consistently by Monte Carlo simulation to outperform previously proposed MMSE based approaches by 4 dB for 4x4 MIMO systems, respectively, in terms of MSE when the sequential MMSE estimator is used.

关键词： MIMO spatial correlation superimposed training sequence channel estimation affine precoder multiuser interference colored noise

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Robust Training Sequence Design for Spatially Correlated MIMO Channel Estimation

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2011年第7期60卷 2882-2894页

作者： Chiang, Chin-Te Fung, Carrson C. Natl Chiao Tung Univ Dept Elect Engn Hsinchu 300 Taiwan

A robust superimposed training sequence design is proposed for spatially correlated multiple-input-multiple-output (MIMO) channel estimation. The proposed scheme does not require accurate knowledge of the spatial correlation matrix, and it is shown to outperform previously proposed robust correlated MIMO channel estimators, such as relaxed minimum mean square error (RMMSE) and least-square RMMSE. Since the training sequence is overlaid into the data stream, the spectral efficiency of the system is higher than those that use time-multiplexed pilots. A solution for the sequence can easily be obtained by using a projection on convex-set-based iterative algorithm that is guaranteed to converge as long as the training sequence matrix is initialized to have full rank. Furthermore, it is shown that the proposed scheme is identical to the RMMSE-based schemes when the MIMO channel is spatially uncorrelated. The computational complexity of the proposed algorithm is also illustrated.

关键词： affine precoder majorization multiple-input-multiple-output (MIMO) robust channel estimation spatial correlation superimposed training (SIT) sequence

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Communication over doubly selective channels: Efficient equalization and max-diversity precoding

Communication over doubly selective channels: Efficient equa...

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作者： Hwang, Sung Jun The Ohio State University

学位级别：Ph.D.

We consider the problem of practical communication over a doubly selective (DS) channel, i.e., a time and frequency selective channel. The problem is approached in two different ways: coherent communication and noncoherent communication, and for each communication scheme we propose practical and near-optimal equalizers and maximum-diversity precoders. Toward these ends, we adopt (1) basis expansion (BE) modeling of the channel, which allows for an efficient and unified way of describing a DS channel in both time and frequency domain; and (2) tree-search algorithms (TSAs), which facilitate near-optimal performance with low complexity.@pqdt@break@For practical coherent communication, we focus on the pulse-shaped (PS) multicarrier modulation (MCM), where controlled inter-symbol-interference (ISI) and intercarrier- interference (ICI) can be leveraged for computationally efficient receiver structures. Then, we propose a novel channel adaptive TSA with a novel fast minimum mean-squared error (MMSE) generalized decision-feedback equalizer (GDFE) preprocessing, and a rank-reduced channel estimation by using the BE channel model. Also, a new finding about optimality of MMSE-GDFE preprocessing is presented, which states that under constant modulus constellation the minimum distance property is preserved by the MMSE-GDFE preprocessing.@pqdt@break@Then, two practically realizable noncoherent equalization schemes are proposed: a sequential algorithm and a Bayesian expectation maximization (EM)-based algorithm. The sequential algorithm is derived from the optimal noncoherent metric, and made practical by a fast algorithm and a TSA to evaluate and search over the metric. The Bayesian EM-based noncoherent algorithm is derived from optimal maximum a posteriori (MAP) estimation of the BE parameters, and efficiently implemented via iteration between soft coherent equalizer and soft channel estimator. Efficient operations are accomplished using fast algorithms whose overall complexitie

关键词： Electrical Engineering wireless communication digital communication equalization detection estimation precoding affine precoder linear precoder coherent noncoherent turbo receiver basis expansion noncoherent metric multicarrier ISI ICI diversity order

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