基于自适应策略的权值修正累积历元RAIM算法

计算机应用 ›› 2013, Vol. 33 ›› Issue (08): 2366-2369.

基于自适应策略的权值修正累积历元RAIM算法

黄国荣¹,常诚¹,郝顺义¹,常雅男¹,许刚²

1. 空军工程大学航空航天工程学院，西安 710038;
2. 63722部队，西安 714000

收稿日期:2013-03-11 修回日期:2013-04-07 出版日期:2013-08-01 发布日期:2013-09-11
通讯作者: 常诚
作者简介:黄国荣(1972-)，男，陕西华县人，教授，博士，主要研究方向：惯性导航与组合导航、故障检测;
常诚(1990-)，男，河南郑州人，硕士研究生，主要研究方向：惯性导航与组合导航、故障检测;
郝顺义(1973-)，男，山西临猗人，副教授，博士，主要研究方向：惯性导航与组合导航;
常雅男(1989-)，女，北京人，硕士研究生，主要研究方向：图像处理、模式识别;
许刚(1988-)，男，安徽阜阳人，硕士研究生，主要研究方向：航天测控、通信技术。
基金资助:
陕西省自然科学基金青年项目;航空科学基金资助项目

Weight modification accumulated epochs RAIM algorithm based on self-adaptive strategy

HUANG Guorong¹,CHANG Cheng¹,HAO Shunyi¹,CHANG Yanan¹,XU Gang²

1. College of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an Shaanxi 710038, China
2. 63772 Unit, Xi'an Shaanxi 714000, China

Received:2013-03-11 Revised:2013-04-07 Online:2013-09-11 Published:2013-08-01
Contact: CHANG Cheng
Supported by:
;the Aeronautical Science Foundation of China under Grant

摘要/Abstract

摘要： 传统的接收机自主完好性监测(RAIM)算法对微小慢变故障的检测延迟较长，漏检率较高，不利于故障检测。针对这一问题，在奇偶矢量RAIM算法基础上，提出了一种基于自适应策略的权值修正累积历元的RAIM新方法。该算法根据单历元故障程度确定权值因子，进而调整选定“窗口”内各历元所占比例，以构造更有效的检测统计量，其中“窗口”的大小依据多次仿真实验确定。仿真结果表明，该算法相对于累积历元和传统RAIM方法检测延迟时间分别缩短了16.67%和56.52%，能更好地检测微小慢变故障。

关键词: 接收机自主完好性监测算法, 微小慢变故障, 自适应策略, 权值因子, 累积历元

Abstract: The conventional Receiver Autonomous Integrity Monitoring (RAIM) algorithm is limited when detecting weak pseudo-range bias under gradual change because of its longer detection delay and higher miss detection rate. A weight modification accumulated epochs parity vector RAIM algorithm based on self-adaptive strategy was presented to solve this problem. In this algorithm, the weight factor was obtained according to the single epoch fault degree to adjust the proportion of each epoch in the selected window to structure more effective detection statistics, and the size of the window was determined according to the repeated simulation experiments. The simulation results show that the proposed method can better detect weak pseudo-range bias under gradual change, compared to accumulated epoch and the conventional RAIM algorithm, the detection delay time declines by 16.67% and 56.52% respectively.

Key words: Receiver Autonomous Integrity Monitoring (RAIM) algorithm, weak pseudo-range bias under gradual change, self-adaptive strategy, weight factor, accumulated epoch

中图分类号:

TP273

黄国荣常诚郝顺义常雅男许刚. 基于自适应策略的权值修正累积历元RAIM算法[J]. 计算机应用, 2013, 33(08): 2366-2369.

HUANG Guorong CHANG Cheng HAO Shunyi CHANG Yanan XU Gang. Weight modification accumulated epochs RAIM algorithm based on self-adaptive strategy[J]. Journal of Computer Applications, 2013, 33(08): 2366-2369.

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