Abstract
In this study, data fusion-based mobile location estimation problem in the rough environment is formulated as an augmented nonlinear filtering problem under line-of-sight(LOS) and non line-of-sight(NLOS) switching modes. Fuzzy filtering and interactive multiple model (IMM) scheme are employed to treat the nonlinear multiple mode filtering problem. Fuzzy filter is proposed to interpolate several linear filters to treat the nonlinear state estimation problem at different operation regions and IMM scheme is used to smooth the switching estimation between LOS and NLOS modes based on the likelihood function. The proposed method integrates the technique of data fusion, fuzzy filtering and IMM scheme to improve the accuracy of mobile location estimation in rough wireless environment. Finally, a simulation example in an urban radio propagation environment is given to illustrate the design procedure and to confirm the performance of the proposed method.