Particle filtering based algorithm for blind channel estimation in OFDM systems
基于粒子滤波的OFDM盲信道估计方法

This paper proposed a particle filtering based algorithm for blind channel estimation. This algorithm modeled the channel in OFDM system as a time-varying auto-regressive model. It implemented channel estimation as follow: got initial channel impulseCIRresponse via subspace-based method, updated CIR and model parameter by a particle filtering algorithm with feedback. Finally, simulation results show that the proposed algorithm not only can estimate invariable channel, but also track time-varying channel. Besides, it converges rapidly.