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Optimization of MIMO Unitary Space-Time Codes

机译:MIMO ary时空码的优化

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One category of Space-Time codes are constellations of unitary matrix in 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:一类时空代码是参数形式的unit矩阵星座。优化对于寻找具有最大分集乘积的星座参数至关重要。在这项研究中,我们证明了多样性产品并不是通信社区广泛采用的星座质量的良好衡量标准。而且,我们表明,好的代码可能不需要完全多样性。我们提出了更好的标准来测量星座质量,这些标准也非常适合优化,尤其适合于梯度搜索方法。此外,我们提出了一种信号星座设计的新方法。我们的技术不是模棱两可地区分低信噪比和高信噪比,而是针对可接受的且不是非常小的块错误率范围。尽管代码设计的计算复杂性可能非常艰巨,但我们已经开发出可以显着提高效率的技术。我们获得的时空代码明显优于现有的时空代码。

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