Abstract
Recently, marginalized particle filter (MPF) has been applied to blind symbol detection problems in wireless systems. MPF is a potential combination of the standard Particle filter and the Kalman filter and can achieve better performance compared with the standard PF in some cases. In this paper, we consider application of the MPF to the problem of blind detection in the presence of the analog imperfections which are inevitable performance degradation factors caused by the imperfection of analog front-end in wireless transceivers. Due to the existence of such impairments, the resulting state-space model of the problem results in non-linear and non-Gaussian and the MPF is not applicable. To cope with this, we employ the auxiliary variable resampling technique to estimate analog imperfection parameters. Simulations are provided that demonstrate the effectiveness of the proposed MPF detector.
