This discussion is presented in the context of avionics sensor integration methodology. However the concepts developed and illustrations presented are in no way limited in application to military avionics systems. There is a growing number of civil applications, where information from multiple sensors is combined to improve performance, provide redundancy management, increase robustness, or achieve graceful degradation when sensor failures (or outages) occur. We are rapidly moving beyond the classical examples of sensor information integration such as in aircraft navigation, or in control of chemical processes, nuclear plants, and jet engines. For example, the automotive industry is using several sensors for engine emissions and fuel control, vehicle active suspension, and yes, vehicle electronics (vetronics). Communication systems, position, velocity, and attitude (rotation) sensors, and other information are rapidly appearing in the consumer automobiles. These sensors provide, at affordable cost, functional capabilities, which until recently were reserved for the more expensive commercial air and ground systems. Other applications of sensor integration are either being implemented, prototyped, or considered in toys, electronics, consumer products, such as the household washers and dryers, communications, and home environment monitoring and control systems. Although the sensor integration possibilities are expanding into these other domains, this discussion focuses on deep integration of Global Positioning System (GPS), inertial navigation systems (INS), synthetic aperture radar (SAR), and other sensors which are a subset of modern aerospace systems.
Deep Integration of GPS, INS, SAR, and Other Sensor Information
1995
34 pages
Report
No indication
English
Navigation Systems , Avionics , Air navigation , Global positioning system , Inertial navigation , Remote sensors , Synthetic aperture radar , Systems integration , Technology assessment , Technology utilization , Attitude control , Attitude indicators , Costs , Environmental monitoring , Instrument errors , Redundancy , Telecommunication
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