这是一篇很好的有关粒子滤波的综述性论文，具有很高的参考价值。-It is now over a decade since the pioneering contribution

of Gordon et al. (1993), which is commonly regarded

as the first instance of modern sequential Monte Carlo (SMC)

approaches. Initially focussed on applications to tracking and

vision, these techniques are now very widespread and have

had a significant impact in virtually all areas of signal and image

processing concerned with Bayesian dynamical models. This

paper is intended to serve both as an introduction to SMC

algorithms for nonspecialists and as a reference to recent

contributions in domains where the techniques are still under

significant development, including smoothing, estimation of

fixed parameters and use of SMC methods beyond the standard

filtering contexts.