OPTIMIZATION OF DATA PROCESSING FOR REQUESTING OBSERVATION SYSTEMS
Iryna V. Svyd
iryna.svyd@nure.uaNational University of Radio Electronics, Department of Radiotechnologies Information and Communication Systems (Ukraine)
Andrij I. Obod
National University of Radio Electronics, Department of Radiotechnologies Information and Communication Systems (Ukraine)
Oleksandr S. Maltsev
National University of Radio Electronics, Department of Radiotechnologies Information and Communication Systems (Ukraine)
Daria B. Pavlova
National Technical University “KhPI”, Department of Information Systems (Ukraine)
Bridel V. Mongo
National Technical University “KhPI”, Department of Information Systems (Ukraine)
Abstract
The article discusses how to optimize the data when it detects air targets by requesting observation systems. Two schemes for the detection of air objects, differing in the order of the operation of deciphering the aircraft responders' response signals, were investigated. It is shown that performing the operation of decoding the signals of the aircraft responder after the operation of detecting the air object makes it possible to improve the quality of data processing of the requesting observation systems. The influence of the aircraft responder readiness coefficient and the probability of suppression of signals in the answer channel on the probability of detection of air objects was researched.
Keywords:
data processing optimization, requesting observation systemsReferences
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Authors
Iryna V. Svydiryna.svyd@nure.ua
National University of Radio Electronics, Department of Radiotechnologies Information and Communication Systems Ukraine
Authors
Andrij I. ObodNational University of Radio Electronics, Department of Radiotechnologies Information and Communication Systems Ukraine
Authors
Oleksandr S. MaltsevNational University of Radio Electronics, Department of Radiotechnologies Information and Communication Systems Ukraine
Authors
Daria B. PavlovaNational Technical University “KhPI”, Department of Information Systems Ukraine
Authors
Bridel V. MongoNational Technical University “KhPI”, Department of Information Systems Ukraine
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