多用户检测中基于导频信道的自适应算法

Adaptive Algorithm Based on Pilot Channel for Multiuser Detection

提出了一种新的、适用于多用户检测的自适应算法 ,这种基于导频信道的自适应算法(PCA)利用导频信道的信息直接计算横向滤波器的权矢量 ,与传统的自适应算法和盲自适应算法相比 ,不需要训练序列或信道估计 ,而且计算复杂度只有 O(N2 ) .分析和仿真表明 ,PCA能全局收敛到 Wiener解 ,收敛速度快 ,稳态性能随导频信道的发射功率增加而提高 ,但比传统的判决引导递归最小二乘算法 (DD- RLS)

A novel adaptive algorithm for multiuser detection is proposed.The algorithm based on pilot channel (PCA) uses the information in pilot channel to compute directly the weight vector of the transversal filter. Compared with conventional adaptive algorithms and previously proposed blind algorithms, it does not require training sequences or channel estimation, and its computational complexity is O(N 2) . Analysis and simulations illustrate that PCA can converge to the Wiener solution globally, and reach the steady state rapidly. The steady state performance can be enhanced by increasing the transmitted power in pilot channel, but is worse than that of conventional recursive least-square algorithm in decision directed mode (DD RLS).