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In this paper, we study the channel estimation problem for time division multiplex amplify-and-forward (AF) relay channels. Both the source and the destination and also the in-between relay node comprise multiple antennas, and there are spatial fading correlations in each hop. We first derive a linear minimum mean square error (LMMSE) channel estimator from a simple scenario where there are no correlations...
High transmission data rate, spectral efficiency, and reliability are necessary for future wireless communications systems. In this paper, we study the performance of multi-user multiple-input multiple-output channel estimation methods using training sequences. We consider the popular linear least square (LS) and minimum mean-square-error (MMSE) approaches. The results of computer simulation show...
A novel channel estimation scheme based on superimposed training is proposed for space time block coded (STBCO) multi-band (MB) orthogonal frequency division multiplexing (OFDM) ultra-wideband (UWB) systems. The optimal training symbols are derived with respect to the least square (LS) channel estimate mean square error (MSE). Simulation shows that the proposed scheme benefits much higher effective...
Effects of improved channel estimation are studied for a proposed IEEE 802.11n OFDM MIMO system. Three channel estimation methods are considered: maximum likelihood (ML), time-domain truncation (TDT) and model-based (MB). TDT and MB are particularly useful when the channel delay spread is short. For an MMSE receiver, MB shows a 1-2.5 dB improvement over ML on the packet error rate performance for...
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