INVESTIGATIONS OF ATTRIBUTE INFORMATION FUSION TECHNIQUES FOR ESTIMATING TARGET IDENTITY: VOLUME 1: TASK II AND TASK III

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Authors
Corporate Authors
Defence Research Establishment Valcartier, Valcartier QUE (CAN);Paramax Systems Canada, Montreal QUE (CAN)
Abstract
The goal of Task II of this project is to present and outline the sensor and the non-sensor technologies involved in the measurement of attribute information pertaining to targets. Some preliminary concepts about sensor fusion and attribute data are given. A review of all the sensors that can find potential application in an AAW naval platform is performed. The output data of these sensors are analyzed in terms of their contribution to a fusion algorithm that fuses attribute data to extract a target identity. Other sources of attribute information, being not from sensors, are also analyzed with special attention to knowledge based systems. The goal of Task III of this project is to present and outline the current techniques or algorithms used by stand-alone ESM sensor systems to estimate the target identity. For the same sensor and scenario the document analyses and compares advanced techniques such as the bayesian probabilistic approach, the Dempster-Shafer evidential reasoning approach and the Zadeh fuzzy logic approach.
Report Number
DREV-CR-768 — Contract Report; Technical Report
Date of publication
06 Oct 1993
Number of Pages
75
DSTKIM No
94-01475
CANDIS No
139831
Format(s):
Hardcopy;Document Image stored on Optical Disk;Originator's fiche received by DSIS

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