In this paper, we address the design of codes which achieve modulation diversity in block fading single-inputsingle-output (SISO) channels with signal quantization at receiver and low-complexity decoding. With an unq...
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ISBN:
(纸本)9781457705953
In this paper, we address the design of codes which achieve modulation diversity in block fading single-inputsingle-output (SISO) channels with signal quantization at receiver and low-complexity decoding. With an unquantized receiver, coding based on algebraic rotations is known to achieve modulation coding diversity. On the other hand, with a quantized receiver, algebraic rotations may not guarantee diversity. Through analysis, we propose specific rotations which result in the codewords having equidistant component-wise projections. We show that the proposed coding scheme achieves maximum modulation diversity with a low-complexity minimum distance decoder.
We study the problem of linear channel estimation with unknown channel input signals. Our work stems from the weighted slice algorithm, in which cumulant slices of different orders are linearly combined to produce an ...
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We study the problem of linear channel estimation with unknown channel input signals. Our work stems from the weighted slice algorithm, in which cumulant slices of different orders are linearly combined to produce an estimate of a single-inputsingle-output channel. Aiming to improve the reliability of estimation, the new approach incorporates a certain matrix structure constraint into its weight computation criterion. It provides more reliable results for channels with weak leading coefficients. This generalized algorithm maintains the advantage of Fonollosa and Vidal's algorithm in handling the situation with channel order overestimation. Its natural extension to multiple-input multiple-output channel estimation is presented along with the channel identifiability conditions required.
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