基于鲁棒卡尔曼滤波的盲自适应多用户检测算法
Blind Adaptive Multiuser Detector Based on Robust Kalman Filter
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摘要: 提出一种新的基于虚拟噪声补偿技术的鲁棒卡尔曼滤波估计异步CDMA系统多用户接收器的最优判决向量的方法,构造出一种收敛速度快、跟踪性能好、数值稳定性好的高性能盲自适应多用户检测算法。仿真实验表明, 该文提出的方法具有很强的抗多址干扰能力和较高的数值鲁棒性。Abstract: A high performance blind adaptive multiuser detection algorithm is proposed by introducing robust Kalman filter based on a compensation technique of a fictitious noise to estimate the optimal decision vector of asynchronous CDMA multiple-users receiver. This algorithm can converge rapidly, track in high accuracy and has satisfied numeric stability. Simulation results show that this algorithm can eliminate Multiple Access Interference (MAI) efficiently and is robust for numerical calculation.
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