Path: utzoo!attcan!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!ucbvax!agate!eos!shelby!lindy!news From: GA.CJJ@forsythe.stanford.edu (Clifford Johnson) Newsgroups: comp.ai Subject: Re: DATA FUSION Message-ID: <4749@lindy.Stanford.EDU> Date: 15 Sep 89 16:45:04 GMT Sender: news@lindy.Stanford.EDU (News Service) Distribution: usa Lines: 32 In article <1882@csm9a.UUCP>, fhadsell@csm9a.UUCP ( GP) writes: >I have received a flyer concerning a course by Llinas & Hall on Data >Fusion. As I read it the flyer doesn't say what Data Fusion is. Would >you please enlighten me? See Defense Electronics' 1986 handbook of Command, Control, Communications, and Intelligence (C3-I), at 217,223: As C3-I systems have increased in complexity and scope, manual methods of merging data are no longer adequate, resulting in the need for fully automated methods, variously referred to as data fusion, multisource correlation or multisensor integration... The price of the many benefits of automated data fusion is, of course, an increase in system complexity... The simplest approach combines hard-decision data -- declarations -- by logical rules, voting, or weighted summations. For small numbers of sensors and hypotheses, this may be implemented as a lookup table of decisions, one for each possible combination of sensor reports. When the number or sensor hypotheses is large, logical -- e.g. Boolean -- equations, arithmetic equations or semantic networks may be used to more efficiently perform the combination and decision-making process... While hard-decision sensors generally include internal quantitative signal processing, they also include a decision rule -- a preset threshold to achieve defined probabilities of correct identification and false alarm -- which passes only firm decisions for data combination. Consider a target approaching two sensors... Etc. Anyone got better references on this subject?