Kai Kang

Advanced sequential Monte Carlo methods and their applications to sparse sensor network for detection and estimation

2016

The general state space models present a flexible framework for modeling dynamic systems and therefore have vast applications in many disciplines such as engineering, economics, biology, etc. However, optimal estimation problems of non-linear nonGaussian state …