综合飞机导航系统

2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD) Pub Date : 2013-10-01 DOI:10.1109/APUAVD.2013.6705316

J. Malysheva

{"title":"综合飞机导航系统","authors":"J. Malysheva","doi":"10.1109/APUAVD.2013.6705316","DOIUrl":null,"url":null,"abstract":"The paper describes the integrated aircraft navigation system, which includes the strapdown inertial navigation system (SINS), GPS receiver, optical horizon sensor and magnetometer. The integration algorithm for such system based on the Kalman filtering is represented. Application of this algorithm allows to improve the accuracy of the aircraft motion parameter estimation. For an optical horizon sensor a self-contained horizon recognition algorithm that enables real-time aircraft attitude determination relative to the horizon line is developed. A scaled-down simulation and performance analysis of the operation of the integrated navigation system is carried out.","PeriodicalId":400843,"journal":{"name":"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Integrated aircraft navigation system\",\"authors\":\"J. Malysheva\",\"doi\":\"10.1109/APUAVD.2013.6705316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the integrated aircraft navigation system, which includes the strapdown inertial navigation system (SINS), GPS receiver, optical horizon sensor and magnetometer. The integration algorithm for such system based on the Kalman filtering is represented. Application of this algorithm allows to improve the accuracy of the aircraft motion parameter estimation. For an optical horizon sensor a self-contained horizon recognition algorithm that enables real-time aircraft attitude determination relative to the horizon line is developed. A scaled-down simulation and performance analysis of the operation of the integrated navigation system is carried out.\",\"PeriodicalId\":400843,\"journal\":{\"name\":\"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APUAVD.2013.6705316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APUAVD.2013.6705316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

介绍了由捷联惯导系统、GPS接收机、光学地平传感器和磁强计组成的飞机综合导航系统。提出了一种基于卡尔曼滤波的系统积分算法。该算法的应用提高了飞机运动参数估计的精度。针对光学地平传感器，提出了一种能够实时确定飞机相对于水平线的姿态的自包含地平识别算法。对组合导航系统的运行进行了按比例缩小的仿真和性能分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Integrated aircraft navigation system

The paper describes the integrated aircraft navigation system, which includes the strapdown inertial navigation system (SINS), GPS receiver, optical horizon sensor and magnetometer. The integration algorithm for such system based on the Kalman filtering is represented. Application of this algorithm allows to improve the accuracy of the aircraft motion parameter estimation. For an optical horizon sensor a self-contained horizon recognition algorithm that enables real-time aircraft attitude determination relative to the horizon line is developed. A scaled-down simulation and performance analysis of the operation of the integrated navigation system is carried out.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)

自引率

0.00%

发文量