The Gaussian Convolution Filter and Its Application to Navigation

摘要：

A new recursive algorithm,termed as the Gaussian convolution filter (GCF),is proposed for nonlinear dynamic state space models.Based on the convolution filter (CF) and similar to the Gaussian filters,the GCF approximates the posterior density of the states by Gaussian distribution.The analytical results show the ability to deal with complex observation model and small observation noise of the GCF over the Gaussian particle filter (GPF) and the lower complexity,more amenable for parallel implementation than the CF.The Simulation in the terrain aided navigation (TAN) domain demonstrates the excellent performance of the GCF.

关键词： signal processing navigation nonlinear estimation

作者: Jian Jun Yin Qing Lin Jian Qiu Zhang

作者单位: Electronic Engineering Department,Fudan University,Shanghai,200433,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）