Blind marginalized particle filtering detector for the systems with IQ imbalance and carrier frequency offset

Recently, marginalized particle filter (MPF) has been applied to blind symbol detection problems over selective fading channels. By marginalizing out the state appearing linearity and Gaussianity in the dynamics, the MPF can reduce the computational complexity, which is one of the main drawbacks of the standard particle filters. In this paper, we consider application of the MPF to the problem of blind detection in the presence of the In-phase/Quadrature-phase (IQ) imbalance and carrier frequency offset (CFO) 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 is non-linear and non-Gaussian and the computationally efficient MPF is not applicable. To cope with this, we employ the auxiliary variable resampling technique to estimate IQ imbalance and CFO parameters. Simulations are provided that demonstrate the effectiveness of the proposed MPF detector.