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首页> 外文会议>Conference on Digital Wireless Communications VI; 20040412-20040413; Orlando,FL; US >Simple Iterative Methods to Exploit the Signal Space Diversity
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Simple Iterative Methods to Exploit the Signal Space Diversity

机译：利用信号空间分集的简单迭代方法

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摘要

Signal space diversity is a power and bandwidth efficient diversity technique. To exploit the signal space diversity, joint maximum-likelihood (ML) detection at the receiver is usually needed, where the complexity grows exponentially with the dimension of a lattice. In this paper, we propose a serial concatenated scheme and two simple iterative methods to exploit the signal space diversity. The simple iterative methods are based on the idea of soft interference cancellation. The first iterative method is based on a scalar Gaussian approximation while the second one is a vector Gaussian approximation. The complexity of the first iterative method grows linearly with the dimension of the lattice, and the simulations show that when the dimension of the lattice N = 32, at BER=10～5, the performance gap between the Rayleigh fading channel and the Gaussian channel is only 0.3 dB. The complexity of the second iterative method grows cubically with the dimension of the lattice and the simulations show that its performance approaches that of the optimal MAP detection method.
机译：信号空间分集是一种功率和带宽高效的分集技术。为了利用信号空间分集，通常需要在接收器处进行联合最大似然（ML）检测，其中复杂度随晶格尺寸呈指数增长。在本文中，我们提出了一种串行级联方案和两种简单的迭代方法来利用信号空间分集。简单的迭代方法基于软干扰消除的思想。第一种迭代方法基于标量高斯近似，而第二种方法是矢量高斯近似。第一种迭代方法的复杂度随晶格尺寸线性增长，仿真表明，当晶格尺寸N = 32时，在BER = 10〜5时，瑞利衰落信道与高斯信道之间的性能差距较大。仅为0.3 dB。第二种迭代方法的复杂度随着晶格尺寸的增加而立方增长，并且仿真表明其性能接近最佳MAP检测方法。

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