A Mathematical Theory of Identification for Information Fusion
نویسنده
چکیده
This paper applies Shannon theory, which was established to describe a discrete general communications system, to a general identification system that is affected by noise (and jamming), the probability of a discrete event occurring (such as an object in a certain region of space), and most importantly, the entropy and dissonance of the information source. This paper analyzes the cause of the many identification problems currently in the military from a fundamental information perspective. This includes analysis on how sharing information derived from Identification Friend-or-Foe (IFF), Electronic Support Measures (ESM), and NonCooperative Target Recognition (NCTR) sensors, with measures of information completeness and conflict, between varied military participants is essential for achieving a network-centric integrated identification picture.
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