ARM Based Low Cost Integrated Navigation System Technology Research

Hao Wen; Da Ke Hu

doi:10.4028/www.scientific.net/AMM.291-294.2537

Paper Titles

The Power Drive Circuit for a Switched Reluctance Motor Based on C8051F310
p.2517

Design of Power Harmonic Analyzer Based on LabVIEW and HHT
p.2522

Variability Analysis of Pi Network Impedance Matching
p.2527

Adaptive Multi Path Routing Protocol for Heterogeneous Multi-Hop Wireless Sensor Network
p.2532

ARM Based Low Cost Integrated Navigation System Technology Research
p.2537

Influence of Harmonic on the Protections of Capacitor Bank
p.2543

Breaks Strip Breakdown with the Parameter Identification Law Diagnosis Mouse Cage Asynchronous Motor Rotor
p.2549

Research on Bi-Directional Inverter of Wind-Solar-Diesel Hybrid Generation System
p.2553

Design of Fault Diagnosis Expert System of Transformer
p.2557

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294ARM Based Low Cost Integrated Navigation System...

ARM Based Low Cost Integrated Navigation System Technology Research

Abstract:

This paper mainly studies the integrated navigation system technology of GPS and microelectronic mechanical system (MEMS) concerning on embedded processor S3C2440A. The system has the advantages of low cost, fast speed and small size, etc., which give wide prospects in a personal navigation application. This paper introduces the system hardware circuit structure design, emphasize on GPS navigation, MEMS inertial device for auxiliary navigation system software algorithm, and use Matlab to do data simulation on system model. The results show that GPS/MEMS inertial component integrated navigation obviously improved relative to separate GPS navigation or Strapdown inertial navigation in the accuracy and application value.

You might also be interested in these eBooks

Advances in Energy Science and Technology

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

2537-2542

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.2537

Citation:

Cite this paper

Online since:

February 2013

Authors:

Hao Wen, Da Ke Hu

Keywords:

ARM, GPS, Integrated Navigation System, Kalman Filter (KF), MEMS

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zhiping Liu, Xiaobing Shao, Simulation System of Low Cost Strapdown Inertial Navigation System Based on Matlab, Modern electronic technology, (2010) In Chinese.

Google Scholar

[2] Qingxian Jiang, The Development of the MEMS Inertial Sensor and Its Application Perspective in Integrated Navigation, Bulletin of Surveying and mapping, 5-8(2006) In Chinese.

Google Scholar

[3] Brown , A.K., GPS/INS uses low-cost MEMS IMU, Aerospace and Electronic Systems Magazine, IEEE, 3-10(2005-06).

DOI: 10.1109/maes.2005.1514768

Google Scholar

[4] Jiancang Ma, Jing Chen, Design of MEMS SINS -GPS Integrated Navigation System, Chinese Journal of sensors and actuators , Vol. 22 No. 10 (2009-10) In Chinese.

Google Scholar

[5] Jamshaid Ali , M. Rasheeq Ullah Baig Mirza. Performance comparison among some nonlinear filters for a low cost SINS/GPS integrated solution, Nonlinear Dynamics (2010-06).

DOI: 10.1007/s11071-010-9665-y

Google Scholar

[6] Zhisheng Zhang, Huaimin Chen, Chengfu Wu, Songhui Ma, Simulation Research on Low- cost SINS/ GPS Integrated Navigation System, Fire Control & Command Control，Vol. 35, No. 10, (2010-10) In Chinese.

Google Scholar

[7] liqiong Yuan, zhanrong Jing, Simulation of Integrated SINS /GPS Navigation System with Kalman Filtering, Automation Instrumentation, Vol. 32 No. 1(2011) In Chinese.

Google Scholar