Robust student’s t based nonlinear filter and smoother 论文

详细信息

发表期刊/会议

IEEE Transactions on Aerospace and Electronic Systems

发表日期

2016-10-01

发表年份

2016

摘要

Novel Student's t based approaches for formulating a filter and smoother, which utilize heavy tailed process and measurement noise models, are found through approximations of the associated posterior probability density functions. Simulation results for manoeuvring target tracking illustrate that the proposed methods substantially outperform existing methods in terms of the root mean square error.