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Description: kalman filter for gps
Platform: |
Size: 5120 |
Author: ubuntu05 |
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Description: 本程序是通过对GPS/INS系统的卡尔曼滤波，获得较为准确的结果。-This program is through the GPS/INS system, Kalman filtering, to obtain more accurate results.
Platform: |
Size: 6144 |
Author: 刘涛 |
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Description: 本程序是通过对gps全球定位系统的卡尔曼滤波，获得较为准确的结果。-This program is through the GPS system, Kalman filtering, to obtain more accurate results.
Platform: |
Size: 3072 |
Author: 刘涛 |
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Description: The open source project DSP_INS is an inertial navigation system on the TI DSP
platform TMS320F28335 with MEMS inertial sensors and commercial GPS module. Inertial
sensors are actually used only for estimating attitude, heading and velocity.
Position information totally comes from GPS (see Q2 in FAQ part). Currently the
MEMS IMU (Inertial Measurement Unit) ADIS16355 and GPS module u-blox LEA-5H
are supported. DSP_INS also reads magnetic field data from HONEYWELL HMC1051/1052.
You can also use the latest IMU module ADIS16405, which also contains magnetic field
sensors.
There is a 10-order extended Kalman filter in DSP_INS, which takes angular velocity,
acceleration, magnetic field, and GPS velocity as inputs. It provides outputs
including angular velocity, acceleration, attitude, heading, velocity, and position
(from GPS) every 10 milliseconds. DSP_INS is proved to be effective and reliable in
several robot and UAV projects.
Platform: |
Size: 1682432 |
Author: snthej |
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Description: GPS IN TEGRATION USING KALMAN FILTER CODE IN C-GPS INS INTEGRATION USING KALMAN FILTER CODE IN C
Platform: |
Size: 12288 |
Author: darush |
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Description: GPS/INS Integratioon 未使用Kalman Filter
-GPS/INS Integratioon not use the Kalman Filter
Platform: |
Size: 166912 |
Author: |
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Description: GPS导航定位双曲面求解方法，，用了卡尔曼滤波法，改方法实时性高
-GPS navigation and positioning the hyperboloid solving method, using a Kalman filter method, change its method of real-time high
Platform: |
Size: 3072 |
Author: tyjx |
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Description: INS和GPS的组合导航系统中卡尔曼滤波器的设计，matlab程序-INS and GPS integrated navigation system, the design of the Kalman filter, matlab program
Platform: |
Size: 1024 |
Author: lilingwei |
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Description: 卡尔曼滤波进行GPS动态定位，读取广播星历和观测的rinex文件，输出成果到制定位置-Kalman filter for GPS dynamic positioning, to read broadcast ephemeris and observing rinex file, output results to the development of position
Platform: |
Size: 5120 |
Author: yuchen |
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Description: 该算法利用卡尔曼滤波技术实现GPS静态滤波-The algorithm uses the Kalman filtering technique to achieve static GPS filtering
Platform: |
Size: 1024 |
Author: liu |
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Description: 利用卡尔曼滤波技术实现动态GPS数据处理-Kalman filtering technique to achieve dynamic GPS data processing
Platform: |
Size: 1024 |
Author: liu |
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Description: 该算法利用卡尔曼滤波技术实现惯性导航与GPS组合导航-The algorithm uses the Kalman filtering technique to achieve inertial navigation and GPS Navigation
Platform: |
Size: 4096 |
Author: liu |
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Description: GPS接收机中的采用卡尔曼滤波实现定位解算的MATLAB代码-Kalman filter is used to achieve the positioning solver MATLAB code GPS receiver
Platform: |
Size: 5120 |
Author: 蓝策 |
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Description: GPS接收机中的卡尔曼滤波，经过测试！程序可以跑通！适合初学者！-Kalman filter in GPS receiver tested! The program can be run through! For beginners!
Platform: |
Size: 5120 |
Author: 王鲁杰 |
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Description: gps静态单点定位,使用kalman滤波算法,导航定位精度好.-gps static single-point positioning, navigation and positioning accuracy using kalman filtering algorithm.
Platform: |
Size: 3072 |
Author: 李玲 |
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Description: 捷联惯导系统的导航算法，采用卡尔曼滤波对惯性信息和GPS信号进行融合，进行噪声处理-SINS navigation algorithm, Kalman filtering fusion of inertial information and GPS signal, noise processing
Platform: |
Size: 686080 |
Author: ycy |
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Description: 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
Platform: |
Size: 154624 |
Author: 孙冬凯 |
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Description: 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
Platform: |
Size: 594944 |
Author: 孙冬凯 |
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Description: 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
Platform: |
Size: 395264 |
Author: 孙冬凯 |
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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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