The modification of Kalman filterbased carrier tracking loop for GPS signals in dynamic conditions and high noise levels
This paper discusses the possibility of creating an automated positioning system, including various search objects by means of engineering intelligence, based on the methodology of tracking GPS signals. The traditional tracking methodology is analyzed and a more efficient one is proposed based on a modification of the Kalman filter for environments with low signal-to-noise ratio and in high user dynamic conditions. To achieve tracking of the GPS signals, the data is processed using MATLAB program. A comparative analysis showed that the proposed tracking method improves the tracking performance by 7 dB compared to the traditional tracking and overcomes bit synchronization losses. In addition, the proposed method improves the accuracy of Doppler frequency measurements under dynamic conditions.
Keywords
GPS,
PLL,
FLL,
C/N0,
Kalman filter,
software-defined GPS receiver,
tracking loopAuthors
Kanouj M.M. | National Research Tomsk State University | motayamkanouj84@stud.tsu.ru |
Klokov A.V. | National Research Tomsk State University | 701-kav@mail.tsu.ru |
Parvatov G.N. | National Research Tomsk State University | georgpa@yandex.ru |
Potekaev A.I. | National Research Tomsk State University | kanc@spti.tsu.ru |
Всего: 4
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