Iterative Multi-User Doppler Shift Estimation based on Distributed Cellular Network
Jin Xu, Xiaofeng Tao, Jing Zhang, Juan Han, Ping Zhang · 2007
Distributed cellular network (DCN) is regarded as one of the most promising architectures likely to be used in next generation mobile communication systems. Under this network architecture, co-channel interference among multi- users in adjacent cells could not be neglected. In this paper, based on detailed error analysis, several useful conclusions for the maximum Doppler shift estimation in multi-user environments are obtained and validated. Furthermore, in order to combat co-channel interference, a novel ACF-based algorithm with adaptive iteration (AI-ACF) is proposed for multi-user Doppler shift estimation. Simulation results indicate that, with moderate complexity, the proposed algorithm could reduce multi-user co-channel interference effectively and improve Doppler shift estimation performance significantly.