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Journal Information-measuring and Control Systems №2 for 2014 г.
Article in number:
Data integration in airborne multisensor information-management systems
Keywords: integration homogeneous and heterogeneous data informativity data occurrence asynchronism filtration
Authors:
V. S. Verba - Dr.Sc. (Eng.), Professor, JSC «Concern «Vega»
V. I. Merkulov - Dr.Sc. (Eng.), Professor, JSC «Concern «Vega»
E. V. Popov - Ph.D (Eng.), Associate Professor, Leading Research Scientist, JSC «Concern «Vega»
V. S. Chernov - Ph.D. (Eng.), Associate Professor, Leading Research Scientist, JSC «Concern «Vega»
Abstract:
At present, a special attention is focused on integration of the sensors involved in information-management systems of manned and unmanned vehicles. Different reconnaissance and surveillance sensors: Airborne Radars (AR), Electronic Signal Monitoring (ESM) stations, Secondary Radar Systems (SRS), Identification Friend-or-Foe System (IFFS), optoelectronic and infrared systems are installed on aircraft. The availability of several reconnaissance and surveillance aids on the aircraft allows using together their different combinations, for example: Airborne Radar and Electronic Signal Monitoring (ESM) station, Airborne Radar and Secondary Radar Systems (SRS), Airborne Radar and Identification Friend-or-Foe System (IFFS), Electronic Signal Monitoring (ESM) station an Secondary Radar Systems (SRS) (IFFS). Based on the selected option of reconnaissance and surveillance aids combination, there are and can be additionally developed different methods of data integration. The article gives a summary of the most known of them: method of heterogeneous data integration, obtained from Airborne Radar (AR) and EMS station, method of matching earth radar image and digital terrain map, method of homogeneous data integration, method of data integration in multiposition passive goniometric systems. It is shown, that in case of processing the rational data obtained from two similar-type meters at any meter-s root mean square error ratio, the total error value does not exceed root mean square error of the most precise meter. The conclusion is made that the integration of data, obtained from different reconnaissance and surveillance aids, ensures increase in accuracy, completeness and authenticity of information used to display the ground situation, air and surface pictures. A variety of integration conditions provides a diversity of methods to combine data obtained from information sensors in single and multipoisition air complexes.
Pages: 32-43
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