文章基本信息

标题：Profile-based Maximum Penalised Likelihood Trajectory Estimation from Space-borne LOS Measurements
本地全文：下载
作者：Taihe Yi ; Zhen Shen ; Zhengming Wang 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2016
卷号：66
期号：3
页码：278-286
语种：English
出版社：Defence Scientific Information & Documentation Centre
摘要：Estimating the boost-phase trajectory of a ballistic missile using line of sight measurements from space-borne passive sensors is an important issue in missile defense. A well-known difficulty of this issue is the poor-observability of the target motion. A profile-based maximum penalised likelihood estimator is presented, which is expected to work in poor-observability scenarios. Firstly, a more adaptable boost-phase profile is proposed by introducing unknown parameters. Then, the estimator is given based on the Bayesian paradigm. After that, a special penalty for box constraint is constructed based on a mixed distribution. Numerical results for some typical scenarios and sensitivity with respect to a priori information are reported to show that the proposed estimator is promising.
关键词：Trajectory estimation;poor-observability;pseudo-measurements;Likelihood estimator