Spline filtering algorithm based on interacting multiple model for line-of-sight rate estimation in strap-down seeker system

被引：0

作者：

Liang, Yangang ^{[1
]}

Hao, Daoliang ^{[1
]}

Tang, Guojin ^{[1
]}

机构：

[1] College of Aerospace Science and Engineering, National University of Defense Technology, Changsha

来源：

Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology | 2014年 / 36卷 / 05期

关键词：

Interacting multiple model; LOS rate estimation; Spline filtering; Virtual observed data;

D O I：

10.11887/j.cn.201405012

中图分类号：

学科分类号：

摘要：

A spline filtering algorithm based on interacting multiple model algorithm (IMM-SF) was proposed to estimate Line-of-sight (LOS) rate in strap-down seeker system. Based on the mapping relation between body LOS and inertial LOS, the inertial LOS angles were obtained and used as virtual observed data of filters. A set of process noise models were set up, and every model worked independently based on the spline filter. The valuation output of IMM-SF was the weighted composition of the valuation outputs of all parallel spline filters. By using this method, the unknown maneuver models of the target were no longer indispensable, which makes the method more convenient to use. Process noise could be adaptively adjusted under the configuration of IMM. The Monte-Carlo simulation results show that the LOS rate can be estimated effectively based on SF-IMM, which can also improve the accuracy of estimation. ©, 2014, National University of Defense Technology. All right reserved.

引用

页码：70 / 74

页数：4

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