Semiblind estimation of MIMO time－varying channels based on sequential importance resampling algorithm
SHI Danfeng, Jing Zhang · DOAJ (DOAJ: Directory of Open Access Journals) · 2013
Particle filtering can be used to handle the non－liner and non－Gaussian problems,while the sequential importance resampling (SIR) algorithm can be better to solve the degeneracy phenomenon in particle filtering and be applied in the semiblind estimation of MIMO time－varying channels.Simulation results show that compared to traditional particle filtering method,the MIMO time－varying channel semiblind estimation method based on the sequential importance resampling algorithm reduces the Mean square error and Symbol error rate,consequently improves the symbol detection performance at the receiver side.