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Efficient lattice-reduction-aided MMSE decision-feedback equalization

机译:高效的晶格简化辅助MMSE决策反馈均衡

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Since optimum diversity behavior can be achieved, equalization based on lattice basis reduction is of special interest for transmission over MIMO channels. Although the per-symbol equalization complexity is very low, the initial calculation of the required matrices still imposes an enormous burden in arithmetic complexity. In this paper, we present an alternative strategy to calculate the lattice-reduction-aided MMSE DFE. Thereby, operations on an augmented matrix, usually proposed to obtain the desired results, are avoided. A suited modification of the “fast V-BLAST algorithm” proposed by Benesty et al. is given. By means of numerical simulations it is covered, that performance does not suffer but algorithmic complexity can almost be halved.
机译:由于可以实现最佳的分集行为,因此基于格减少的均衡对于通过MIMO信道进行传输尤为重要。尽管每个符号的均衡复杂度非常低,但是所需矩阵的初始计算仍然给算术复杂度带来了巨大负担。在本文中,我们提出了一种替代策略来计算晶格简化辅助的MMSE DFE。从而,避免了通常被提出以获得期望结果的对增强矩阵的操作。 Benesty等人提出的“快速V-BLAST算法”的适当修改。给出。通过数值模拟可以看出,性能不会受到影响,但是算法复杂度几乎可以降低一半。

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