基于协同导航机理的微惯性行人定位系统研究与实现
[Abstract]:With the popularity of navigation and positioning in intelligent mobile terminals and the vigorous development of location-based service LBS (Location-Based Service), people put forward higher requirements for accuracy and continuity of positioning. The pedestrian positioning method based on satellite navigation technology tends to mature and has achieved good results. However, in urban environment, because people usually use the scene of location service is indoor, satellite positioning system is affected by signal occlusion, interference and other factors, the positioning accuracy is poor or even unable to locate. In order to solve this problem, other positioning techniques must be used to obtain reliable and stable navigation and positioning results. The pedestrian navigation and positioning system based on inertial assistance, with its advantages of autonomous navigation and no additional facilities, has received extensive attention and concentrated research in engineering and academic circles. This paper focuses on the problem of pedestrian autonomous navigation and positioning in the condition of weak or missing satellite signal. In order to meet the practical needs of pedestrian positioning, this paper will start from two aspects: single location and multi-person positioning. The pedestrian navigation system based on micro inertial devices is mainly studied in order to realize the precise positioning of single person. On this basis, the function of multi-person navigation and positioning is realized by combining the cooperative navigation technology. In this paper, the working principle of strapdown inertial navigation system is studied, and the single position system is constructed with micro inertial device. In order to overcome the positioning error caused by the long time drift of inertial devices, the zero-velocity correction technique is applied to the Yu Jie integrated inertial navigation system. On the basis of pedestrian gait analysis, a zero-velocity detection algorithm based on multi-condition identification of zero velocity is studied, and a Kalman filter based on velocity error is constructed. In order to verify the method, a multi-group navigation experiment is designed. The experimental results show that the zero-velocity correction based on Kalman filter algorithm can effectively improve the positioning accuracy of strapdown inertial navigation system. In order to meet the needs of multi-person localization in a specific environment, this paper studies the multi-person positioning system based on cooperative navigation mechanism. In this paper, the ranging and positioning technology based on RSSI is introduced into the navigation system to assist the inertial navigation system to carry out multi-person cooperative navigation and positioning. In order to improve the positioning accuracy, the multi-person cooperative navigation algorithm based on ranging and location is studied. After the research on the theory and method of multi-person cooperative navigation and positioning, the principle prototype of multi-person positioning system is designed and implemented in this paper. On the basis of this, the precision of multi-person positioning system is further evaluated by navigation experiment. The experimental results show that the pedestrian positioning system designed in this paper can realize the cooperative navigation and positioning function of many people in complex environment, and it has certain engineering application value.
【学位授予单位】:南京师范大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN96
【参考文献】
相关期刊论文 前10条
1 闻泽阳;许江宁;于梦琦;;基于MEMS IMU的室内导航系统设计[J];舰船电子工程;2016年12期
2 徐海鑫;孙付平;潘文超;刘帅;门葆红;;零角度修正在GNSS/INS组合导航中的应用[J];测绘科学技术学报;2015年06期
3 傅忠云;朱海霞;孙金秋;刘文波;;基于惯性传感器MPU6050的滤波算法研究[J];压电与声光;2015年05期
4 江奇渊;汤建勋;袁保伦;韩松来;;激光陀螺捷联惯导尺寸效应误差分析与补偿[J];红外与激光工程;2015年04期
5 万骏炜;曾庆化;陈磊江;陈维娜;邓孝逸;;行人惯性导航系统平台设计与实现[J];计算机应用与软件;2015年02期
6 米刚;田增山;金悦;李泽;周牧;;基于MIMU和磁力计的姿态更新算法研究[J];传感技术学报;2015年01期
7 徐博;白金磊;郝燕玲;高伟;刘亚龙;;多AUV协同导航问题的研究现状与进展[J];自动化学报;2015年03期
8 钱伟行;彭晨;田恩刚;李荣冰;;基于导航信息双向融合的行人/移动机器人协同导航方法[J];中国惯性技术学报;2014年01期
9 Congfeng Liu;Jie Yang;Fengshuai Wang;;Joint TDOA and AOA location algorithm[J];Journal of Systems Engineering and Electronics;2013年02期
10 孙作雷;茅旭初;田蔚风;张相芬;;基于动作识别和步幅估计的步行者航位推算[J];上海交通大学学报;2008年12期
相关博士学位论文 前4条
1 赵红宇;惯性行人导航系统的算法研究[D];大连理工大学;2015年
2 冯波;线性滤波估计算法研究及在惯性导航系统中的应用[D];北京理工大学;2014年
3 穆华;多运动平台协同导航的分散式算法研究[D];国防科学技术大学;2010年
4 钱伟行;捷联惯导与组合导航系统高精度初始对准技术研究[D];南京航空航天大学;2010年
相关硕士学位论文 前9条
1 计怡峰;全向移动机器人惯性导航系统设计[D];东南大学;2016年
2 郭晨;基于RSSI的无线网络定位技术研究[D];东南大学;2015年
3 杨志;捷联惯导系统的系统级全参数标定方法研究[D];哈尔滨工业大学;2015年
4 景策;基于RSSI的室内定位算法研究[D];西安电子科技大学;2014年
5 王翔宇;基于MEMS惯性器件的分布式导航系统研究[D];上海交通大学;2013年
6 丁君;基于微惯性传感器的姿态算法研究[D];上海交通大学;2013年
7 曾浩瀚;多舰艇协同导航误差分析与算法研究[D];哈尔滨工程大学;2013年
8 孟丽莎;无线传感器网络测距定位求精算法的研究[D];大连理工大学;2012年
9 姜朋;基于MEMS-IMU的捷联式惯性导航系统技术与实现研究[D];哈尔滨工程大学;2012年
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