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Accurate and reliable positioning of vehicles is a decisive factor for many Intelligent Transportation System (ITS) applications. Under the cooperative environment, the eco-driving at specific scenarios, like intersections, requires vehicle motion state information, which can be provided by Global Navigation Satellite System (GNSS) with an integrity monitoring capability. In order to provide effective...
Differential spatial modulation (DSM) is a novel attractive alternative technique for coherent spatial modulation (CSM) without channel state information (CSI) at the receiver. In this paper, iterative detection is firstly employed to improve the performance of DSM schemes. With the Hamming distance of two matrices reduced to the sum of simple elements, a lowcomplexity iterative detection scheme for...
Accurate and safe train position determination is of great importance for railway systems. Additionally, it has become one of the biggest challenges for the Safety-of-Life (SoL) services in railway transport systems using GNSS techniques. The critical performance requirements of these services promote the users to develop safe Train Positioning Systems (TPSs), in which integrity has to be highly concerned...
Safe train localization is the key element to provide reliable Position, Velocity and Timing (PVT) information for Automatic Train Operation (ATO), and will enable future applications such as moving block, real-time safety margin estimation for adjacent trains, and many more. The safety-assured train localization under many repeated tests along the test railway line providing acceptable performance...
Based on the exploration and development of Train Collision Early Warning System (TCEWS), the safety assurance overlay for high-speed train operation over the railway signaling system is becoming a reality in China. As the rapid development of BeiDou Navigation Satellite System (BDS), availability of precise and effective satellite navigation encourages a revolution in railway transportation system...
This paper presents a free space visible light communication (VLC) system using an image sensor as a receiver to acquire position related timely information. Since the atmospheric turbulence affects the communication quality, the analysis of atmospheric turbulence is very important for designing a practical communication system. In this paper, the atmospheric turbulence channel is analyzed. The method...
Data fusion algorithm is an important guarantee about the performance level and complete function of the train positioning system. Since conventional Kalman filter methods in GNSS/INS integration frame could not solve the problem of nonlinear model. In this paper the Gaussian particle filter (GPF) is introduced, which is an efficient variant on the particle filtering algorithm for nonlinear hybrid...
The rapid developments of the image sensor technology have made them an important tool in different areas. Many applications utilizing image sensors were proposed. In recent years, there is a tendency to utilize light-emitting diodes (LED) as a light source replacing normal lamps due to its obvious advantages over incandescent light sources, which including lower energy consumption, longer lifetime,...
The widely linear(WL) minimum output energy (MOE) algorithm for code division multiple access receiver is widely researched recently. The WL-MOE filter, which can also be applied in complex valued modulation with improvement, can provide twice users in improper signal. These paper uses least mean square(LMS) whose adaptive rate is some slow. The paper develops the variable step size WL-LMS which can...
The unscented Kalman filter (UKF) is widely applied to different kinds of nonlinear filtering problems. But the performance of the conventional UKF algorithm is unstable because the fixed covariance parameters cannot accord with the vary situation. This paper proposes a new adaptive UKF filtering algorithm for the GPS based position estimation problem. In terms of the GPS system error characters,...
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