MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability

Bailleul, Jelle; Jacobs, Lennert; Manfredi, Paolo; Ginste, Dries Vande; Guenach, M.; Moeneclaey, Marc

doi:10.1109/tcomm.2018.2815020

Cited by 2 publications

(3 citation statements)

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“…The optimal coefficients W and B , for given T , are straightforwardly obtained by equating the derivatives of the MSE in ( 22) with respect to W and B to zero, yielding [4], [10]…”

Section: A Optimization Over W and Bmentioning

confidence: 99%

“…G T . For full-response signaling (FRS), i.e., T = I N t 0 N t ×L T N t , the expressions in ( 23) and ( 24) are verified to simplify to the standard expressions for the MMSE equalizer [3], [4].…”

Section: A Optimization Over W and Bmentioning

confidence: 99%

“…Besides the linear equalizers, several nonlinear equalization schemes for continuous transmission over FS MIMO channels have been investigated, that combine adequate performance with low complexity. For example, a decision-feedback equalizer (DFE) [3], [4] with the previously detected symbols at the receiver (RX) as input can completely eliminate the postcursor ISI provided that the previous symbols were correctly detected. However, its performance may be severely degraded by the propagation of erroneous decisions.…”

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confidence: 99%

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Optimized Precoded Spatio-Temporal Partial-Response Signaling Over Frequency-Selective MIMO Channels

Bailleul

Jacobs

Guenach

et al. 2020

IEEE Trans. Wireless Commun.

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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 singleoutput 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 spatiotemporal 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.

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“…The optimal coefficients W and B , for given T , are straightforwardly obtained by equating the derivatives of the MSE in ( 22) with respect to W and B to zero, yielding [4], [10]…”

Section: A Optimization Over W and Bmentioning

confidence: 99%

Section: A Optimization Over W and Bmentioning

confidence: 99%

mentioning

confidence: 99%

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