基于子空间跟踪算法的盲多用户检测技术研究

本文提出一种基于压缩投影逼近子空间跟踪(PASTd)算法与Kalman滤波算法相结合的盲自适应多用户检测算法.基于本算法,仅使用期望用户的特征波形和定时信息,多用户检测器可以盲获得.仿真实验表明,在多径非频率选择性衰落信道和用户数目变化的动态环境中,本文提出的盲多用户检测算法虽然在计算量上较LMS算法略为提高,但其收敛性能却优于后者,与RLS算法和Kalman滤波算法相比,本文提出的算法具有更低的计算复杂度和更优的收敛性能.

Research of Blind Mulitiuser Detection Based on Subspace Tracking Algorithm

A blind adaptive multiuser detection algorithm based on a hybrid of Projection Approximation Subspace Tracking with deflation (PASTd) and Kalman filtering is proposed.It is shown that under this algorithm,muhiuser detector ean be obtained blindly u- sing only the signature waveform and the timing of the desired user.The proposed blind multiuser detection algorithm has a little higher computational quantity and excellent convergence performance than LMS algorithm,but it offers lower computational complexity and bet- ter convergence performance than RLS and Kalman filtering algorithm.