A New Blind Adaptive Multiuser Detection Algorithm of Kalman Filtering Based on Subspace

To solve the problem of multiple-access interference (MAI) in the DS-CDMA system, this paper analyzed the blind adaptive multiuser detection algorithm of Kalman filtering proposed by Zhang Xianda etc., and put forward a new algorithm based on subspace to reduce the computation complexity. The simulation results show that the new algorithm has better convergence performance in non-fading channels as well as in slowly time-varying Rayleigh fading channels.