Description: 国外关于GPS与INS组合导航的一篇新文章,涉及到GPS数据与INS数据的融合,卡尔曼滤波器设计和仿真思路-abroad on GPS and INS navigation combination of a new article, relate to the GPS data with the INS data fusion, Kalman filter design and simulation ideas Platform: |
Size: 286720 |
Author:阳文 |
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Description: 读取TXT文档里的GPS数据卡尔曼滤波程序,对于初学者很有帮助-TXT file to read GPS data in the Kalman filter procedure, very helpful for beginners Platform: |
Size: 1024 |
Author:姜玉林 |
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Description: 本压缩文件包含GPS量测数据仿真和惯性导航解算以及卡尔曼滤波在导航解算中的应用-The compressed file contains the GPS measurement data simulation and inertial navigation and Kalman filter solver solver in the navigation application Platform: |
Size: 11264 |
Author:neargdd |
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Description: 捷连惯导和GPS组合导航,利用kalman滤波进行数据融合并输出-Jie Lian INS and GPS navigation, the use of kalman filter for data fusion and output Platform: |
Size: 1024 |
Author:爱爱 |
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Description: 对地观测数据的卡尔曼滤波器,详细叙述了数学模型和软件操作过程,GPS编程进阶材料-Earth observation data, Kalman filter, the mathematical model described in detail the process and software, GPS Programming Advanced Materials Platform: |
Size: 369664 |
Author:张明 |
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Description: 通过卡尔曼滤波并采用开环控制方式实现惯性导航和GPS的数据融合-Through the Kalman filter and use the open-loop control method to achieve inertial navigation and GPS, data fusion Platform: |
Size: 4096 |
Author:dj |
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Description: kalman滤波用于GPS数据处理,本人已用过,非常好的源码-calman filter for GPS data processing,I have used, very good source Platform: |
Size: 11264 |
Author:吴哥 |
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Description: 通过卡尔曼滤波算法对INS和GPS数据进行联合解算,获取解算数据 -Kalman filter algorithm by INS and GPS data for the United Solution, solving the data access Platform: |
Size: 307200 |
Author:向华强 |
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Description: 姿态信息是飞行控制中最关键的参数之一,因此姿态测量成为飞行控制系统首要解决的问题。利用多MEMS传感器研制了一种微型姿态测量系统。利用三轴MEMS加速度计和三轴MEMS陀螺数据,由方向余弦矩阵的姿态表示形式推导了扩展Kalman滤波方程,解算出飞行器的俯仰角和横滚角 设计专家系统判断飞行器的运动状态,并根据该状态调整滤波算法中的测量噪声矩阵,使系统可同时满足静态情况和动态情况的使用 利用空速和高度数据对俯仰角进行修正,利用GPS解算航向角。将实验结果与国外最新
的商用自动驾驶仪的姿态结果进行了比较,二者在静态情况下非常吻合,在动态情况下基本吻合。
- The attitude information is one of the most important
parameters in flight control systems. This paper describes an
attitude measurement system based on a MEMS multi-sensor. The
data from 3-axis MEMS accelerators and 3-axis MEMS gyros is used
to determine the pitch angle and the roll angle of the air vehicle using
an extended Kalman filter (EKF) equation deduced from the
direction cosine matrix. An expert system was designed to estimate
the vehicle motion to adjust the measurement noise matrix of the
extended Kalman filter equation so that the system can be used in
dynamic as well as static environments. The measured airspeed and
altitude are also used to revise the pitch angle. The heading is
determined from GPS information. Test results compare well with
an imported commercial autopilot in a static test with less accurate
results in a dynamic test.
Platform: |
Size: 50176 |
Author:cisca |
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Description: Altitude location for UAV by using federated filter
is discussed, the fourth structure is selected, because its two
sub-filters involving altitude sensor and the difference Global
Positioning System (d-GPS) respectively are fully isolated from
each other and thus make the federated filter more fault-tolerant
and better in real-time performance. Data fusion based on this
federated filter was simulated. When the d-GPS is working
normally and simulation results show that values estimated by
data fusion base on federated filter are very close to real values
and the variance of federated filter converges to 10m. When the
electromagnetic environment is very bad, as is usually the case in
war zone, the d-GPS is silent for a long time, variance based on
federated filter converges to 13m, bigger than the 10m.
Compared with previous paper variance based on Kalman
converges to 15m, higher than the 13m. Federated filter can give
much more accurate estimation than Kalman filter. Platform: |
Size: 328704 |
Author:Clovis |
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Description: 卡尔曼滤波GPS静动态滤波实验的实验程序和数据-The kalman filter for GPS static and dynamic experimental program and data filtering experiment Platform: |
Size: 65536 |
Author:s |
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Description: GPS/INS组合导航位置校正仿真程序,能够仿真减少位置误差(His finishing some classic papers about kalman filtering, data and programs, for beginners of kalman filter has a lot of help.) Platform: |
Size: 634880 |
Author:007amw
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Description: 对于组合导航的学习,需要先了解kalman滤波算法,ins/gps组合导航运用的最多的数据融合算法就是kalman(For integrated navigation learning, need to understand the kalman filter algorithm, ins/GPS integrated navigation using most of the data fusion algorithm is kalman) Platform: |
Size: 3072 |
Author:eloquent
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Description: 该程序基于MATLAB平台编写,实现了GPS/INS基于位置松组合的卡拉曼滤波算法,分为两部分,GPS_INS.m为组合算法主文件,输入捷联惯导平台实测数据,设置各量测噪声参数,在调用卡尔曼滤波函数进行数据融合校正,最后实现绘图功能;kalman_GPS_INS.m 为卡拉曼滤波程序,输入量测误差以及各噪声参数可得位置和速度估计值。(The program is based on MATLAB platform, and realizes the Kalman filtering algorithm of GPS/INS based on position loosening combination. It is divided into two parts. GPS_INS.m is the main file of the combined algorithm, inputs the measured data of the strapdown inertial navigation platform, sets the measurement noise parameters, and carries out data fusion correction by calling the Kalman filter function, and finally realizes the drawing. Function; kalman_GPS_INS.m is Kalman filter program, input measurement error and noise parameters can be estimated position and velocity.) Platform: |
Size: 633856 |
Author:不知晓 |
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