scholarly journals Robust Self-Contained Pedestrian Navigation by Fusing the IMU and Compass Measurements via UFIR Filtering

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Meng Hou ◽  
Yuan Xu ◽  
Xiao Liu
Keyword(s):  
Inertial Measurement Unit ◽  
Stance Phase ◽  
Finite Impulse Response ◽  
Measurement Unit ◽  
Test Results ◽  
Robust Performance ◽  
Pedestrian Navigation ◽  
Noise Statistics ◽  
Navigation Scheme ◽  
Real Test

In order to overcome the poor observability of yaw measurement for foot-mounted inertial measurement unit (IMU), an integrated IMU+Compass scheme for self-contained pedestrian navigation is presented. In this mode, the compass measurement is used to provide the accurate yaw to improve the accuracy of the attitude transformation matrix for the foot-mounted IMU solution. And then, when the person is in a stance phase during walk, a unbiased finite impulse response (UFIR) filter based on the self-contained pedestrian navigation scheme is investigated, which just needs the state vector size MU and the filtering horizon size NU, while ignoring the noise statistics compared with the Kalman filter (KF). Finally, a real test has been done to verify the performance of the proposed self-contained pedestrian navigation using the IMU and compass measurements via UFIR filter. The test results show that the proposed filter has robust performance compared with the KF.

scholarly journals A Pedestrian Navigation System Based on Low Cost IMU

2014 ◽  
Vol 67 (6) ◽  
pp. 929-949 ◽  
Author(s):  
Yan Li ◽  
Jianguo Jack Wang
Keyword(s):  
Constant Velocity ◽  
Inertial Measurement Unit ◽  
Stance Phase ◽  
Low Cost ◽  
Stair Climbing ◽  
Measurement Unit ◽  
Phase Detection ◽  
New Approach ◽  
Pedestrian Navigation ◽  
Zero Velocity

For indoor pedestrian navigation with a shoe-mounted inertial measurement unit (IMU), the zero velocity update (ZUPT) technique is implemented to constrain the sensors' error. ZUPT uses the fact that a stance phase appears in each step at zero velocity to correct IMU errors periodically. This paper introduces three main contributions we have achieved based on ZUPT. Since correct stance phase detection is critical for the success of applying ZUPT, we have developed a new approach to detect the stance phase of different gait styles, including walking, running and stair climbing. As the extension of ZUPT, we have proposed a new concept called constant velocity update (CUPT) to correct IMU errors on a moving platform with constant velocity, such as elevators or escalators where ZUPT is infeasible. A closed-loop step-wise smoothing algorithm has also been developed to eliminate discontinuities in the trajectory caused by sharp corrections. Experimental results demonstrate the effectiveness of the proposed algorithms.

scholarly journals Integrated GNSS/IMU-Gyrocompass with Rotating IMU. Development and Test Results

2020 ◽  
Vol 12 (22) ◽  
pp. 3736
Author(s):  
Gennadiy Emel’yantsev ◽  
Oleg Stepanov ◽  
Aleksey Stepanov ◽  
Boris Blazhnov ◽  
Elena Dranitsyna ◽  
...  
Keyword(s):  
Inertial Measurement Unit ◽  
Fiber Optic ◽  
Measurement Unit ◽  
Prototype Model ◽  
Navigation Satellite ◽  
Test Results ◽  
Rotating Platform ◽  
Inertial Measurement ◽  
Urban Conditions ◽  
The Given

The paper presents the developed integrated GNSS/IMU gyrocompass which, unlike the existing systems, contains a single-axis rotating platform with two antennas installed on it and an inertial measurement unit with tactical grade fiber-optic gyros. It is shown that the proposed design provides attitude solution by observing the signals of only one navigation satellite. The structure of the integrated GNSS/IMU gyrocompass, its specific features and prototype model used in the tests are described. The given test results in urban conditions confirmed heading determination accurate to ±1.5° (3σ).

A Design of MIMU/GPS Integrated Navigation System

2013 ◽  
Vol 278-280 ◽  
pp. 1719-1722 ◽  
Author(s):  
Xiao Yu Zhang ◽  
Chun Lei Song
Keyword(s):  
Navigation System ◽  
Inertial Measurement Unit ◽  
High Performance ◽  
Inertial Navigation System ◽  
Measurement Unit ◽  
Integrated Navigation ◽  
Test Results ◽  
Simulation Test ◽  
Integrated Navigation System ◽  
Navigation Algorithm

A new scheme of small integrated navigation system based on micro inertial measurement unit (MIMU), global position system (GPS) is presented. The characteristic of these sensors and the structure of system are introduced respectively. The TI high performance floating point DSP TMS320C6713B is used as core processor, which is designed to realize both the data collecting and the navigation calculating. According to the error models of inertial navigation system, an integrated navigation algorithm used Kalman filter is proposed to fuse the information from all of the sensors. The simulation test results show the feasibility of the system design.

scholarly journals ROTATING A MEMS INERTIAL MEASUREMENT UNIT FOR A FOOT-MOUNTED PEDESTRIAN NAVIGATION

2014 ◽  
Vol 10 (12) ◽  
pp. 2619-2627 ◽  
Author(s):  
Khairi Abdulrahim ◽  
Chris Hide ◽  
Terry Moore ◽  
Chris Hill
Keyword(s):  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Inertial Measurement ◽  
Pedestrian Navigation

Agricultural Machinery Operation Posture Rapid Detection Method Based on Intelligent Sensor

2013 ◽  
Vol 373-375 ◽  
pp. 936-939
Author(s):  
Nan Feng Zhang ◽  
Jing Feng Yang ◽  
Yue Ju Xue ◽  
Zhong Li ◽  
Xiao Lin Huang
Keyword(s):  
Real Time ◽  
Rapid Detection ◽  
Inertial Measurement Unit ◽  
Detection Method ◽  
Measurement Unit ◽  
Test Results ◽  
Agricultural Machinery ◽  
Intelligent Sensor ◽  
Inertial Measurement ◽  
Status Data

Based on agricultural machinery body posture detection parameters and wheels gesture detection parameters collected by gyro inertial measurement unit, an agricultural machinery operation posture rapid detection method is proposed in this paper. The test results show that, the test results of the method are accurate and available, and the method is effective and available for real-time body and wheel status data to further understand the agricultural machinery.

Inertial measurement unit of waverider buoy. Development and test results

2016 ◽  
Vol 7 (3) ◽  
pp. 239-246 ◽  
Author(s):  
D. G. Gryazin ◽  
L. P. Starosel’tsev ◽  
O. O. Belova ◽  
A. N. Dzyuba
Keyword(s):  
Inertial Measurement Unit ◽  
Measurement Unit ◽  
Test Results ◽  
Inertial Measurement

MEMS Based Pedestrian Navigation System

2005 ◽  
Vol 59 (1) ◽  
pp. 135-153 ◽  
Author(s):  
Seong Yun Cho ◽  
Chan Gook Park
Keyword(s):  
Neural Network ◽  
Navigation System ◽  
Stance Phase ◽  
Finite Impulse Response ◽  
Step Length ◽  
Magnetic Compass ◽  
Pedestrian Navigation ◽  
Novel Technique ◽  
Seamless Positioning ◽  
Impulse Response Filter

In this paper we present a micro-electrical mechanical system (MEMS) based pedestrian navigation system (PNS) for seamless positioning. The sub-algorithms for the PNS are developed and the positioning performance is enhanced using the modified receding horizon Kalman finite impulse response filter (MRHKF). The PNS consists of a biaxial accelerometer and a biaxial magnetic compass mounted on a shoe. The PNS detects a step using a novel technique during the stance phase and simultaneously calculates walking information. Step length is estimated using a neural network whose inputs are the walking information. The azimuth is calculated using the magnetic compass, the walking information and the tilt compensation algorithm. Using the proposed sub-algorithms, seamless positioning can be accomplished. However, the magnetic compass based azimuth may have an error that varies according to the surrounding magnetic field. In this paper, the varying error is compensated using the MRHKF filter. Finally, the performance enhanced seamless positioning is achieved, and the performance is verified by experiment.

Automated Calibration System for IMU Based on Database and LabVIEW

2013 ◽  
Vol 333-335 ◽  
pp. 2396-2400 ◽  
Author(s):  
Yan Deng ◽  
Chao Xing ◽  
Bin Zhou
Keyword(s):  
Inertial Measurement Unit ◽  
Calibration Procedure ◽  
Measurement Unit ◽  
Test Results ◽  
Calibration System ◽  
Inertial Measurement ◽  
Test Items ◽  
Long Time ◽  
Verification Test ◽  
Data Transferring

The calibration of Inertial Measurement Unit (IMU) is the premise of inertial navigation. It includes series of test items, takes a long time, and requires lots of data transferring and calculating operations. Traditional manual method is difficult to ensure its reliability and efficiency. This paper presented an automated IMU calibration system with three layers: the test hardware devices, the calibration software and the calibration database. Calibration software controlled the tests running in the temperature box, on the turntable, vibration table and marble horizontal table. Calibration database stored the test data and calibration parameters. Through the LabVIEW aided database technique, the system not only completed all the test items but also integrated and simplified the calibration procedure. The verification test results showed that the system improved the calibration efficiency and enhanced the calibration reliability greatly.

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