Nonlinear Gaussian Mixture Approximation Smoother

This paper presents a novel Gaussian mixture approximation smoother (GMA) for estimation the nonlinear system state. The smoothing implementation is transformed into computing some Gaussian weighted integrals, which triggers the development of the new GMA-URTSS algorithm by applying unscented transformation (UT). Simulation application demonstrates the superior performance of the proposed method.