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首页> 外文期刊>IEEE Transactions on Signal Processing >On Minimum-BER Linear Multiuser Detection for DS-CDMA Channels
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On Minimum-BER Linear Multiuser Detection for DS-CDMA Channels

机译:DS-CDMA信道的最小BER线性多用户检测

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摘要

The minimum bit-error rate (MBER) linear multiuser detection of direct-sequence code-division multiple-access (DS-CDMA) communications is considered. It is shown that the problem of MBER linear multiuser detection is equivalent to a constrained optimization problem where the constrained space is the surface and interior of a hyperellipsoid. It is further shown that any solution of the constrained optimization problem must be a solution of a set of nonlinear equations. Based on these the MBER linear multiuser detector of the two-user case is obtained. For general cases, we propose a convex subspace of the constrained space and show that the BER cost function is convex on the subspace and therefore has a unique solution. Some sufficient conditions that guarantee the convex subspace always contains the global minimizer are provided, which show that if the signal-to-noise ratio (SNR) is sufficiently large, the convex subspace always contains the global minimizer. A Newton method is developed for the set of nonlinear equations and computer simulation gives some illustrative examples
机译:考虑了直接序列码分多址(DS-CDMA)通信的最小误码率(MBER)线性多用户检测。结果表明,MBER线性多用户检测问题等同于约束优化问题,其中约束空间是超椭球的表面和内部。进一步表明,约束优化问题的任何解都必须是一组非线性方程的解。基于这些,获得了两用户情况的MBER线性多用户检测器。对于一般情况,我们提出了约束空间的凸子空间,并证明了BER成本函数在子空间上是凸的,因此具有唯一的解决方案。提供了一些足以保证凸子空间始终包含全局最小化器的条件,这些条件表明,如果信噪比(SNR)足够大,则凸子空间将始终包含全局最小化器。针对该非线性方程组开发了牛顿法,并通过计算机仿真给出了一些说明性示例

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