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Information Journal Paper

Title

Improving the Reliability of GPS and GLONASS Navigation Solution in Urban Canyons using a Tuned Kalman Filter

Pages

  11-18

Abstract

 Urban canyon is categorized as hard environment for positioning of a dynamic vehicle due to low number and also bad configuration of in-view satellites. In this paper, a tuning procedure is proposed to adjust the important factors in Kalman filter (KF) using Genetic Algorithm (GA). The authors tested the algorithm on a dynamic vehicle in an urban canyon with hard condition and compared the results with traditional KF and Weighted least square (WLS) methods. The outputs showed that this algorithm could be more reliable more than 114% and 61% against WLS and traditional KF.

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  • Cite

    APA: Copy

    KHAVARI, A., MOSAVI, M.R., TABATABAEI, A., & SHAHHOSEINI, H.S.. (2018). Improving the Reliability of GPS and GLONASS Navigation Solution in Urban Canyons using a Tuned Kalman Filter. JOURNAL OF AEROSPACE SCIENCE AND TECHNOLOGY (JAST), 12(2), 11-18. SID. https://sid.ir/paper/773668/en

    Vancouver: Copy

    KHAVARI A., MOSAVI M.R., TABATABAEI A., SHAHHOSEINI H.S.. Improving the Reliability of GPS and GLONASS Navigation Solution in Urban Canyons using a Tuned Kalman Filter. JOURNAL OF AEROSPACE SCIENCE AND TECHNOLOGY (JAST)[Internet]. 2018;12(2):11-18. Available from: https://sid.ir/paper/773668/en

    IEEE: Copy

    A. KHAVARI, M.R. MOSAVI, A. TABATABAEI, and H.S. SHAHHOSEINI, “Improving the Reliability of GPS and GLONASS Navigation Solution in Urban Canyons using a Tuned Kalman Filter,” JOURNAL OF AEROSPACE SCIENCE AND TECHNOLOGY (JAST), vol. 12, no. 2, pp. 11–18, 2018, [Online]. Available: https://sid.ir/paper/773668/en

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