Fuzzy Logic-based Adaptive Extended Kalman Filter Algorithm for GNSS Receivers

  • Pasumarthi Babu Sreeharsha K L University Guntur
  • Venkata Ratnam Devanaboyina K L University Guntur 522502
Keywords: Ionospheric scintillations, Adaptive extended Kalman filter, GSNR, Fuzzy logic

Abstract

Designing robust carrier tracking algorithms that are operable in strident environmental conditions for global navigation satellite systems (GNSS) receivers is the discern task. Major contribution in weakening the GNSS signals are ionospheric scintillations. The effect of scintillation can be known by amplitude scintillation index S4 and phase scintillation index sf parameters. The proposed fuzzy logic based adaptive extended Kalman filter (AEKF) method helps in modelling the signal amplitude and phase dynamically by Auto-Regressive Exogenous (ARX) analysis using Sugeno fuzzy logic inference system. The algorithm gave good performance evaluation for synthetic Cornell scintillation monitor (CSM) data and real-time strong scintillated PRN 12 L1 C/A data on October 24th, 2012 around 21:30 h, Brazil local time collected by GNSS software navigation receiver (GSNR’x). Fuzzy logic algorithm is implemented for selecting the ARX orders based on estimated amplitude and phase ionospheric scintillation observations. Fuzzy based AEKF algorithm has the capability to mitigate ionospheric scintillations under both geomagnetic quiet and disturbed conditions.

Author Biographies

Pasumarthi Babu Sreeharsha, K L University Guntur

Mr P. Babu Sree Harsha working as Junior Research Fellow in Space Technology and Atmospheric Research Laboratory in Department of Electronics and Communication Engineering at Koneru Lakshmaiah Education Foundation, India. His research interests include developing data assimilation algorithms for ionospheric variables. He worked on carrier tracking algorithms for GNSS receivers in mitigation of ionospheric scintillations using Kalman filter techniques.

Venkata Ratnam Devanaboyina, K L University Guntur 522502

Dr D. Venkata Ratnam received his PhD (Electronics Comm. Engg.) from Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India, in 2011. Presently working as Professor and Group Head for Space Technology and Atmospheric Research Laboratory Department of Electronics and Communication Engineering at Koneru Lakshmaiah Education Foundation, India. His research interests include : Navigational electronics, global navigational satellite systems (GNSS), space science, and ionospheric radio wave propagation. He has published more than 30 peer reviewed journal papers.  

Published
2018-10-31
How to Cite
Sreeharsha, P., & Devanaboyina, V. (2018). Fuzzy Logic-based Adaptive Extended Kalman Filter Algorithm for GNSS Receivers. Defence Science Journal, 68(6), 560-565. https://doi.org/10.14429/dsj.68.12313
Section
Electronics & Communication Systems