INTER-STAGE OPTIMIZATION OF DATA PROCESSING OF SURVEY RADAR SYSTEM OF AIRSPACE
DOI:
https://doi.org/10.26906/SUNZ.2021.1.023Keywords:
radar data processing, surveillance systems, Neumann-Pearson criterion, inter-stage optimization of data processing, radar observation systems, data fusingAbstract
Work describe a synthesis and analysis of the data processing optimum structure of radar survey systems, thanks to the creation of a temporary information base of signal data for the required number of inspections of the radar observation system, In each element of which signal data with quality indicators and parameters for their production are stored, it is possible to perform cross-stage optimization of signal processing, primary and secondary data processing of air surveillance systems on the basis of the Neumann-criterionPearson and the possibility to formulate information messages faster within the scope of current information, which significantly affects the quality of the decision made. These calculations showed the advantages of primary radar data processing compared to the combination of data at the level of decision-making on the detection of a gliding object in each signal processing channel, and shows ambiguity in the quality of decision-making, both in quality and in the composition of the information on which decisions are based. In this way, the structure will lead to better analysis of information on air expanse, ensuring to a large extent both the security of the country and the safety of air trafficDownloads
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