A DOUBLE-FREQUENCY COMBINED POSITIONING ALGORITHM OF BEIDOU NAVIGATION SATELLITE SYSTEM

被引：0
|
作者：
Zhou, Yuwei [1 ]
Chen, Xiaoling [1 ]
Mao, Xuchu [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Instrument Sci & Engn, Shanghai 200240, Peoples R China
来源：
2017 14TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2017年
基金：
中国国家自然科学基金;
关键词：
Square-Root Unscented Kalman Filter; Particle Swarm Optimization; Double-frequency combined positioning; Beidou System;
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：
With the second civilian signal B2I announced, Beidou Navigation Satellite System has been into the era of multiple frequency application. In order to improve the accuracy of BDS positioning, an estimation algorithm of BDS positioning based on Particle Swarm Optimization and Square-Root Unscented Kalman Filter is proposed, which could estimate the noise covariance matrix accurately and compensate defects of Extended Kalman Filter and Unscented Kalman Filter. Based on above, a new algorithm of BDS double-frequency combined positioning is proposed. Experimental results show that the proposed method can effectively improve the accuracy and stability of Beidou System positioning.
引用
收藏
页码：9 / 14
页数：6
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