An augmented wavelet-neuro-fuzzy module for enhancing MEMS based navigation systems

Ahmed El-Shafie, Aboelmagd Noureldin, Mohammed Bayoumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Low cost navigation systems relying on gyroscopes and accelerometers manufactured using micro electromechanical system (MEMS) technology have been recently utilized in land vehicles. These MEMS-based sensors are integrated with GPS to provide reliable positioning solutions in case of GPS outages that commonly occur in urban areas. The major inadequacies of MEMS-based navigation sensors are the high noise level and the large bias instabilities that are stochastic in nature. The effects of these inadequacies manifest themselves as large position errors during GPS outages. This research proposes the utilization of wavelet denoising to improve the signal-to-noise ratio of each of the MEMS-based sensors. In addition a neuro-fuzzy module is used to provide a reliable prediction of the vehicle position during GPS outages. The results from a road test experiment show the effectiveness of the proposed wavelet - neuro-fuzzy module.

Original languageEnglish
Title of host publicationICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages1339-1342
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai
Duration: 14 Nov 200727 Nov 2007

Other

Other2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
CityDubai
Period14/11/0727/11/07

Fingerprint

Navigation systems
MEMS
Global positioning system
Outages
Sensors
Gyroscopes
Accelerometers
Signal to noise ratio
Navigation
urban area
utilization
road
experiment
Costs
trend
costs
Experiments

Keywords

  • GPS
  • MEMS
  • Neuro-fuzzy
  • Positioning
  • Wavelet

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Communication

Cite this

El-Shafie, A., Noureldin, A., & Bayoumi, M. (2007). An augmented wavelet-neuro-fuzzy module for enhancing MEMS based navigation systems. In ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications (pp. 1339-1342). [4728575] https://doi.org/10.1109/ICSPC.2007.4728575

An augmented wavelet-neuro-fuzzy module for enhancing MEMS based navigation systems. / El-Shafie, Ahmed; Noureldin, Aboelmagd; Bayoumi, Mohammed.

ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications. 2007. p. 1339-1342 4728575.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

El-Shafie, A, Noureldin, A & Bayoumi, M 2007, An augmented wavelet-neuro-fuzzy module for enhancing MEMS based navigation systems. in ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications., 4728575, pp. 1339-1342, 2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007, Dubai, 14/11/07. https://doi.org/10.1109/ICSPC.2007.4728575
El-Shafie A, Noureldin A, Bayoumi M. An augmented wavelet-neuro-fuzzy module for enhancing MEMS based navigation systems. In ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications. 2007. p. 1339-1342. 4728575 https://doi.org/10.1109/ICSPC.2007.4728575
El-Shafie, Ahmed ; Noureldin, Aboelmagd ; Bayoumi, Mohammed. / An augmented wavelet-neuro-fuzzy module for enhancing MEMS based navigation systems. ICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications. 2007. pp. 1339-1342
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