Position and attribute fusion of radar, ESM, IFF and Datalink forAAW missions of the Canadian Patrol Frigate

摘要

The R&D group at Lockheed Martin Electronic Systems Canada(LMESC) has now implemented the second version (v2) of its Data FusionDemonstration Model (DFDM) for a naval anti-air warfare platform. Thisproject has been designed to read data passively on the Canadian PatrolFrigate (CPF) bus without any modification to the CPF software. DFDM v2has the capability to fuse data from the following CPF sensors: 2surveillance radar, 2 slaved identification friend or foe, anelectronics support measure, the communication intercept operator and atactical data link (Link-II). The fusion of data from non-organicsensors with the tactical Link-II data has produced spatial alignmentproblems which have been overcome by the use of a geodetic referencingcoordinate system. A new Kalman filter with adaptive process noiseprovides significantly improved tracking capabilities. Two enhancementshave been implemented into a Dempster-Shafer evidential reasoning overattribute data: the addition of pruning rules to reduce the set ofidentity propositions, and the use of fuzzy logic for confidence leveldistribution