
doi: 10.2514/3.21741
Summary: The problems of global positioning system (GPS) and differential GPS (DGPS) integrity monitoring are addressed. Receiver-autonomous and station-based integrity monitoring algorithms are discussed. Integrity monitoring consists of two functions: detection of the fact that a satellite channel produced wrong data and isolation or identification of which satellite channel is malfunctioning. So-called snapshot and fixed size sample approaches to GPS channels integrity monitoring are widely known today. Unfortunately, the snapshot and fixed size sample approaches do not lead to an optimal solution. The goal is to develop a new optimal statistical approach to GPS/DGPS channels integrity monitoring, which has significant advantages over widely known but nonoptimal snapshot and fixed size sample algorithms.
optimal, Estimation and detection in stochastic control theory, integrity monitoring, Detection theory in information and communication theory, detection, Application models in control theory, global positioning system, satellite channel, System identification, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
optimal, Estimation and detection in stochastic control theory, integrity monitoring, Detection theory in information and communication theory, detection, Application models in control theory, global positioning system, satellite channel, System identification, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 25 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
