基于采样数据矩阵和变步长RLS-Kalman算法的空时Rake接收机

A New 2D Rake Receiver Based on Sampling Matrix and RLS-Kalman Algorithm

提出了一种新的基于采样数据矩阵和变步长RLS-Kalman算法的空时二维Rake接收机,对天线阵列接收信号以码片速率连续进行扩频因子个数采样,构成输入矩阵,经过二维Rake接收机处理后得到输出.自适应算法部分采用时变系统跟踪思想,改造了变步长RLS-Kalman算法,仿真结果表明,二维Rake接收机可以明显提高接收机的输出信干噪比,并保留了扩频信号的结构信息,有利于和多用户检测技术的联合.

A novel 2D Rake receiver based on sampling matrix and RLSKalman algorithm was proposed in the literature. In every iteration step, the input data of 2D Rake is a matrix, which were formed by N (spread factor) samplings. The adaptive algorithm used in 2D Rake comes from the timevarying system tracking idea, and was modified to accord with input matrix. The new 2D Rake is propitious to integrate with multiuser detection technology because the structure of spread signal was reserved in 2D Rake output.