A new importance function for particle filtering and its application to blind detection in flat fading channels

Particle filtering has drawn much attention in recent years due to its capacity to handle nonlinear and non-Gaussian problems. One crucial issue in particle filtering is the selection of importance function. In this paper, we propose a new type of importance function, which possess advantages over both the posterior and the prior importance functions. In addition, we demonstrate the use of the proposed importance function in blind detection in flat fading channels. Simulation results show its efficiency and performance.