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Optimized Precoded Spatio-Temporal Partial-Response Signaling Over Frequency-Selective MIMO Channels
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DOI：10.1109/TWC.2020.2998533.png)
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Abstract
En 中文
Due to the continuous demand for higher bit rates, the management of the spatio-temporal intersymbol interference in frequency-selective multiple-input multiple-output (MIMO) channels becomes increasingly important. For single-input single-output channels, equalized precoded partial-response signaling is capable of handling a large amount of intersymbol interference, but, to date, no equalization scheme with general partial-response signaling has been presented for the frequency-selective MIMO channel. Not only does this contribution extend partial-response signaling to the MIMO channel by proposing a general spatio-temporal partial-response precoder, but it also develops a minimum mean-squared-error optimization framework in which the equalization coefficients and the spatio-temporal target response are jointly optimized. Three iterative optimization algorithms are discussed, which update (part of) a row of the target impulse response matrix in each iteration. In particular, the third algorithm reformulates this row optimization as a lattice decoding problem. Numerical simulations confirm that the general partial-response signaling clearly outperforms the traditional full-response signaling in terms of the mean squared error and the bit error rate. The third optimization algorithm has a better performance but a higher complexity, compared to the first and the second algorithm.
Keywords:
MIMO communication
Optimization
Equalizers
Wireless communication
Lattices
Complexity theory
Bit error rate
Decision-feedback equalization
lattice decoding
MIMO frequency-selective channel
minimum mean-squared-error equalization
partial-response signaling
precoding
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