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Optimization of MIMO Unitary Space-Time Codes

机译:优化MIMO酉空时码

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One category of Space-Time codes are constellations of unitary matrix m parametric form. Optimization is essential for seeking parameters of constellation with the largest diversity product. In this research, we demonstrate that diversity product is not a good measure of constellation quality as widely adopted in communication community. Moreover, we show that good codes may not, need to have full diversity. We propose better criteria for measuring the quality of constellations, which are also very amenable for optimization and particularly suitable for the gradient search method. Furthermore, we propose a new approach for signal constellation design. instead of ambiguously discriminating low and high SNR, our techniques target the range of block error rate which is acceptable and not extremely small. Although the computational complexity of code designing can be formidable, we have developed techniques which significantly improve the efficiency. We obtain space-time codes which significantly outperform existing ones.
机译:的空时码中的一个类别是酉矩阵的星座中号参数形式。优化是寻求星座参数与最大多样性的产品是必不可少的。在这项研究中,我们证明了多元化的产品是不是星座质量的一个很好的措施,因为在通信界广泛采用。此外,我们表明,良好的代码可能不行,需要有充分的多样性。我们提出更好的标准衡量星座,这也是优化非常适合,特别适合梯度搜索方法的质量。此外,我们提出了信号星座图设计的新方法。代替含糊区分低和高SNR,我们的技术目标块错误率是可接受的,并且不极小的范围内。虽然代码设计的计算复杂度可以是强大的,我们已经开发出显著提高效率的技术。我们获得这显著优于现有的空时码。

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