Design on Airborne Positioning System Based on Improved Kalman Filtering

被引：0
|
作者：
Shen, Dong [1 ]
Zhao, Chaoyang [1 ]
Li, Qiang [1 ]
Huang, Xia [1 ]
机构：
[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou 730070, Gansu, Peoples R China
来源：
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER AIDED EDUCATION (ICISCAE 2018) | 2018年
关键词：
Passive location; Kalman filtering; TODA-AOA; Positioning accuracy;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For improving the efficiency of positioning during radio signal source locating, it designs airborne positioning system based on the modified Kalman filtering. Using software radio technology, FPGA is adopted to improve algorithm efficiency. The sequential fusion algorithm with Kalman filtering is introduced to TDOA-AOA joint locating. Different data observing values are uploaded to the fusion center. Finally, according to the different observing data, the optimal estimation results are obtained. Field tests show the positioning system proposed here can improve the positioning accuracy efficiency.
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页码：51 / 54
页数：4
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