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Removal of conflicts in fusion of identification information from ELINT-ESM sensors

This paper presents a method of conflicts removal in fusion of identification (attribute) information provided by ELINT – ESM sensors (Electronic Intelligence – Electronic Support Measures). In the first section, the basic taxonomy of attribute identification is adopted in accordance with the standards of STANAG 1241 ed. 5 and STANAG 1241 ed. 6 (draft). These standards provide the following basic values of the attribute identifications: FRIEND, HOSTILE, NEUTRAL, UNKNOWN and additional values: ASSUMED FRIEND and SUSPECT. The last values can be interpreted as a conjunction of basic values. The basis of theoretical considerations is the Dezert-Smarandache theory (DSmT) of inference. The paper presents and practically uses for combining identification information from different ELINT – ESM sensors four information fusion rules proposed by the DSmT - the Proportional Conflict Redistribution rules (PCR1, PCR3,Pcr4 and PCR5).In the next section, rules of determining attribute information by ESM sensor equipped with the data base of radar emitters are presented. It was proposed that each signal vector sent by the ELINTESM sensor contained an extension specifying a randomized identification declaration (hypothesis). This declaration specifies the reliability of the identification information - basic belief assignment (bba) for the identification information set. Results of the PCR rules of sensor information combining for different scenarios of radio-electronic situation (deterministic and Monte Carlo) are presented in the final part of the paper. At the end of the paper conclusions are given. They confirm the legitimacy of the use of the Dezert-Smarandache theory into information fusion and its proportional conflict redistribution rules for ELINT-ESM sensors.