【摘要】 为解决一般自适应多用户检测算法需要频繁发送训练序列的问题,基于最陡下降法,提出一种基于随机测量的码分多址(CDMA)盲自适应多用户检测器.通过合理地选取时变步长,使得算法刚开始时步长取大值以加快收敛速度,算法将结束时步长取小值以减小规范化平方误差的极限值.运行该盲自适应多用户检测算法时,只需知道两个系统参数:期望用户的扩频序列和信道加性高斯白噪声的方差.仿真结果表明,该算法在保持一般盲自适应多用户检测器优点的基础上,可有效地提高多用户检测算法的收敛速度,从而提高CDMA系统的综合性能.更多还原

【Abstract】 In order to solve the problem of frequently sending training sequences for the usual training based adaptive multiuser detectors, a new effective stochastic blind adaptive multiuser detector for CDMA systems was proposed. Only two system parameters need to be known when running the proposed algorithm: the signature sequence of the desired user and the variance of the additive white Gaussian noise(AWGN). The simulation results show that by reasonably choosing time varying step size, which takes larger values at the beginning so as to let the convergence be faster and smaller values at the end so as to let the limiting normalized squared error(NSE) be smaller, the proposed algorithm can effectively improve the convergence rate of the multiuser detector and increase the system performance.更多还原