NDLI: Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Content Provider	IET Digital Library
Author	Malakar, Bidhan Roy, Binoy K.
Abstract	This study proposes a bilinear recursive least square based adaptive multisensor data fusion technique for the precise localisation of railway vehicles and detection of an accidental train parting to be used with the train collision avoidance system (TCAS) in Indian railways. The accurate localisation of railway vehicles during the absence of global positioning system (GPS) is a challenging task for the TCAS. One of the reliable solutions for this task may be the augmentation of GPS with the onboard multisensor system. A bilinear recursive least square adaptive filter is used here to estimate and compensate the position error of the onboard multisensor system. The impact of slack in coupling is considered for the analysis of parting detection. The performance of the proposed technique is compared with the observation error based approach, bounded offset based approach and pseudo-measurement state constraining technique. The simulation results indicate that the proposed technique is superior in terms of positional accuracy and for the detection of an accidental train parting with a minimum parting distance.
Starting Page	853
Ending Page	861
Page Count	9
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 8, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0488
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-04-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Bilinear Recursive Least Square Adaptive Filter Bilinear Recursive Least Square Based Adaptive Multisensor Data Fusion Technique Computing in Other Engineering Field Filtering Method in Signal Processing Indian Railways Interpolation And Function Approximation Least Squares Approximation Numerical Analysis Railways Sensor Fusion TCAS Train Collision Avoidance System Train Detection Train Localisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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