摘要
提出了一种基于Lagrange神经网络的盲多用户检测器,该检测器以最小平均输出能量为准则,把盲检测问题转化为优化问题,利用神经网络进行有效求解。理论分析和仿真结果表明,该检测器在性能上优于传统的检测器,且计算量少,收敛速度快,便于实时处理。
In this paper, a lagrange neural network based blind multiuser detection algorithm is proposed. Based on the minimum output energy criterion, the algorithm is formulated as a constrained optimization problem inherently and is then resolved efficiently by using neural network .It is shown that the proposed method is superior in computational efficiency and real time operation to the conventional blind multiuser algorithm.
出处
《太原理工大学学报》
CAS
2004年第5期550-553,共4页
Journal of Taiyuan University of Technology
基金
山西省自然科学基金资助项目(20041044)
关键词
盲多用户检测
神经网络
优化
blind multiuser detection
neural network
optimization