A New Train GPS Positioning Algorithm In
Satellite Incomplete Condition Based On
Optimization And The Digital Track Map
Author(s)
X. Jia, D. Chen & H. Wang
Abstract
The train positioning plays a key role in the train control system. The current
train positioning is determined by the track circuit or balise, which cost a lot to
build and maintain. GPS (Global Positioning System), one kind of GNSS
(Global Navigation Satellite System) positioning technology, provides a cheap
and real-time option. However, the inherent defect of GPS positioning is the socalled
incomplete condition of GPS when less than four satellites are effective.
This paper presents a new train GPS positioning algorithm based on the digital
track map and optimization method for the incomplete condition of GPS. First,
the track piece where the train is located is identified at the moment when the
GPS satellite signals become incomplete. Then, a straight-line equation
constrained by the pseudo-range equation is deduced. Finally, the estimated train
position is obtained by minimizing the sum of the squared errors, which is solved
by the gradient descent method and compared with the actual location in the
digital track map. After the experiments were carried out in Sanjia dian Station,
Beijing Railway Station, to get the field GPS positioning data, the performance
of the proposed algorithm was evaluated and analyzed. The results demonstrated
that the accuracy and stability of train positioning employing the proposed
method were improved in GPS satellite incomplete condition (SIC).
Keywords: railway, GPS, incomplete condition, digital track map, optimization
method.
Keywords
railway, GPS, incomplete condition, digital track map, optimizationmethod
Related Book
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