关于全反相关器和部分反相关器的相对输出信噪比

Ping Xiong, I. Psaromiligkos, S. Batalama
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引用次数: 0

摘要

我们研究了两种线性多用户检测器——完全去相关器和部分去相关器的相对输出信噪比性能。对于每个检测器,我们考虑在完全已知的输入统计数据下等效的两种实现。第一种实现利用签名矩阵,而第二种实现基于理想输入协方差矩阵的特征分解。完全去相关的目的是去相关完整的多址干扰,而部分去相关的目的是通过从相应的实现方法中排除一个或多个用户签名或特征向量,只去相关一部分。在输出信噪比意义上,给出了部分去相关器优于完全去相关器的信号能量和特征互相关水平的充分必要条件。数值结果证明了上述条件的有效性,仿真研究表明,在样本平均估计的输入统计量下,完全去相关器和部分去相关器的相对信噪比和误码率性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the relative output SINR of the full and partial decorrelators
We investigate the relative output SINR performance of two linear multiuser detectors - the full decorrelator and the partial decorrelator. For each detector, we consider two implementations that are equivalent under perfectly known input statistics. The first implementation utilizes the signature matrix while the second implementation is based on the eigendecomposition of the ideal input covariance matrix. While the full decorrelator aims at decorrelating the complete multiple-access-interference, the partial decorrelator aims at decorrelating only a part of it by excluding one or more user-signatures or eigenvectors from the corresponding implementation method. We derive necessary and sufficient conditions on the signal energy and signature cross-correlation levels under which the partial decorrelator outperforms the full decorrelator in the output SINR sense. Numerical results demonstrate the validity of the above conditions and simulation studies illustrate the relative SINR and BER performance of the full and partial decorrelators under sample-average-estimated input statistics.
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