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.

中文翻译：

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频率选择性 MIMO 信道上优化的预编码时空部分响应信令

由于对更高比特率的持续需求，频率选择性多输入多输出 (MIMO) 信道中时空符号间干扰的管理变得越来越重要。对于单输入单输出信道，均衡预编码部分响应信令能够处理大量的码间干扰，但迄今为止，还没有针对频率选择性 MIMO 信道提出具有通用部分响应信令的均衡方案. 这种贡献不仅通过提出通用的时空部分响应预编码器将部分响应信令扩展到 MIMO 信道，而且还开发了一个最小均方误差优化框架，其中均衡系数和时空目标响应被联合优化。讨论了三种迭代优化算法，它们在每次迭代中更新（部分）目标脉冲响应矩阵的一行。特别是，第三种算法将此行优化重新表述为格解码问题。数值模拟证实，一般部分响应信令在均方误差和误码率方面明显优于传统的全响应信令。与第一种和第二种算法相比，第三种优化算法具有更好的性能，但复杂度更高。数值模拟证实，一般部分响应信令在均方误差和误码率方面明显优于传统的全响应信令。与第一种和第二种算法相比，第三种优化算法具有更好的性能，但复杂度更高。数值模拟证实，一般部分响应信令在均方误差和误码率方面明显优于传统的全响应信令。与第一种和第二种算法相比，第三种优化算法具有更好的性能，但复杂度更高。