基于自适应卡尔曼滤波盲多用户检测的新算法

Blind multiuser detector based on adaptive Kalman filter

研究在稳态的码分多址(code-divisionmultiple-access,CDMA)系统存在很强的抗多址干扰时,使多用户检测中的最优判决向量的估计保持较高的数值鲁棒性的算法。采用一种新的自适应卡尔曼滤波多用户检测算法估计CDMA系统多用户接收器的最优判决向量,高性能盲自适应多用户检测算法。通过仿真实验,可以看出,该算法收敛速度快、跟踪性能好、数值稳定性好。仿真实验表明,提出的方法能够有效抑制阵发性多用户干扰,具有很强的抗多址(multipleaccessinterference,MAI)干扰能力和较高的数值鲁棒性。

A new algorithm is proposed to make the estimation of the optimal decision vector of CDMA muhiuser detector robust when the stable CDMA system has strong MAI. A new multiuser detector based on adaptive Kalman filter is described to estimate the optimal decision vector of CDMA muhiuser receiver. It can be seen from the simulation results based on this new algorithm that it can converge rapidly, track in high accuracy and has satisfied numeric stability. Simulation results show that the method can eliminate paroxysmal multiple access interference （MAI） efficiently and has excellent capability of anti-muhiple access interference and high reliability.