The technology of using to determine system level performance of tracking and pointing systems has evolved in recent years. Modern multichannel data acquisition, processing, and analysis systems have allowed development of new test methods that significantly increase our ability to understand and quantify system performance and the sources of performance limitations. Pointing and tracking systems control the intertial orientation of a variety of critical payloads in applications such as weapons delivery, surveillance, target discrimination, missile guidance, communication, gunnery, directed energy systems, and many others. In systems with stringent performance requirements, it is necessary to accurately identify, measure, and account for test environment effects and associated induced disturbances on the errors of the pointing and tracking system. The keys to the improved approach to testing complex pointing and tracking systems are the coherence analysis algorithms developed in recent years by Dr. Julius Bendat et al. The underlying concept is that all environmental and test induced disturbances are instrumented and simultaneously recorded with the signals that characterize the pointing and tracking system performance. The hypothesis on which data analysis is predicted is that a set of measured disturbances (or inputs) accounts for the measured performance error (output). The coherence analysis algorithms permit the test analyst to break up to performance signal into components caused by each of the input paths and to quantify that part of the performance not allocatable to any of the measured disturbances.
Advanced testing methods for acquisition, tracking, and pointing
Moderne Prüfverfahren für die Zielerkennung, Zielverfolgung und Störungsunterdrückung
Proceedings of SPIE, Acquisition, Tracking, and Pointing IV ; 1304 ; 237-249
1990
13 Seiten, 12 Bilder, 3 Quellen
Aufsatz (Konferenz)
Englisch
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