Performance Comparison of a proposed Vector Tracking architecture versus the Scalar configuration for a L1/E1 GPS/Galileo receiver
In urban environments, standalone GNSS receivers can be strongly affected to the point of not being able to provide a position accuracy suitable for use in vehicular applications. In this paper, a vector delay/frequency-locked loop (VDFLL) architecture for a dual constellation L1/E1 GPS/Galileo receiver is proposed. In this implementation, the individual DLLs and FLLs of each tracked satellite are replaced with an Extended Kalman filter (EKF), responsible for both estimating the user's position, velocity and clock bias and closing the code/carrier updates for each GPS L1 and Galileo E1 tracking channels. In this work, a detailed performance comparison between the scalar tracking and VDFLL configuration is assessed under signal outages and significant power drops conditions that are simulated in different satellite channels. Contrary to the conventional tracking, the L1/E1 VDFLL loop is able to recover the frequency and code-delay estimation at the end of the simulated outages without the requirement of signal reacquisition process.
Code (0)
등록된 구현이 없습니다.
Tasks
PositionSimilar Papers 제목 키워드 기반
Tracking Performance of Incremental LMS Algorithm over Adaptive Distributed Sensor Networks
In this paper we focus on the tracking performance of incremental adaptive LMS algorithm in an adaptive network. For this reason we consider the unknown weight vector to be a time varying sequence. First we analyze the p…
Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM
Belief propagation (BP) is a useful probabilistic inference algorithm for efficiently computing approximate marginal probability densities of random variables. However, in its standard form, BP is only applicable to the …
Simultaneous Localization and MappingVocal Bursts Type PredictionMultilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison
Critical point tracking is a core topic in scientific visualization for understanding the dynamic behavior of time-varying vector field data. The topological notion of robustness has been introduced recently to quantify …
Point TrackingA comparison of Vector Symbolic Architectures
Vector Symbolic Architectures combine a high-dimensional vector space with a set of carefully designed operators in order to perform symbolic computations with large numerical vectors. Major goals are the exploitation of…
Performance Evaluation Methodology for Long-Term Visual Object Tracking
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength…
BenchmarkingObjectObject TrackingVisual Object Tracking