MC-CDMA系统中一种线性共轭MOE多用户检测算法

孟艳; 汪晋宽; 朱俊; 解志斌

doi:10.3724/SP.J.1146.2007.00822

MC-CDMA系统中一种线性共轭MOE多用户检测算法

doi: 10.3724/SP.J.1146.2007.00822

基金项目:

博士学科点专项科研基金(20050145019)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2007-05-28
- 修回日期: 2007-09-12
- 刊出日期: 2008-12-19

Linear Conjugate Multiuser Detection Based on the MOE Criterion

摘要

摘要: 该文提出MC-CDMA系统下一种基于递归最小二乘(Recursive Least-Squares, RLS)的最小输出能量(Minimum Output Energy, MOE)噪声抑制线性共轭多用户检测算法。该算法定义了一种新的基于MOE准则的代价函数，同时将噪声子空间作为MOE代价函数的约束条件，设计了一种噪声抑制的线性共轭检测器，并采用RLS算法自适应得到权向量。所提算法将权向量和噪声子空间正交，消除了权向量中的噪声分量，并且利用了伪自相关矩阵的信息，从而提高了系统的性能。仿真结果证明了本文算法的有效性和优越性。
- 多载波CDMA /
- 多用户检测 /
- 最小输出能量 /
- 递归最小二乘算法 /
- 盲自适应
Abstract: A Minimum Output Energy (MOE) noise suppression linear conjugate multiuser detection algorithm based on Recursive Least-Squares (RLS) is proposed for MC-CDMA system. The proposed algorithm defines a new cost function based on the MOE criterion and uses the noise subspace to impose multiple constraints on the new defined MOE cost function. A noise suppression linear conjugate detector is designed by using the new defined cost function and the new constraints condition, and the RLS algorithm is used to obtain the weight vector adaptively. It makes orthogonal processing between the weight vector and the noise subspace to mitigate the noise in the weight vector, and exploits the information contained in the pseudoautocorrelation of the observables. Therefore the performance of the system is improved. Simulation results demonstrate the effectiveness and superiority of the proposed algorithm.
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参考文献(1)

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