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A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel's changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations...
This paper proposes a novel power allocation among the source and relays of wireless relay networks to minimize the mean-square error of the channel estimation when distributed space-time coding (DSTC) is applied. Both the maximum likelihood (ML) and minimum mean-square error (MMSE) estimations are considered. The impact of imperfect channel estimation on the error performance of DSTC is also analyzed,...
For point to point multiple input multiple output systems, Dayal-Brehler-Varanasi have proved that training codes achieve the same diversity order as that of the underlying coherent space time block code (STBC) if a simple minimum mean squared error estimate of the channel formed using the training part is employed for coherent detection of the underlying STBC. In this letter, a similar strategy involving...
In this paper, transmission over time-selective, flat fading relay channels is studied. It is assumed that channel fading coefficients are not known a priori. Transmission takes place in two phases: network training phase and data transmission phase. In the training phase, pilot symbols are sent and the receivers employ single-pilot MMSE estimation or noncausal Wiener filter to learn the channel....
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