Decision fusion strategies in multisensor environments

Abstract

Efficient decision fusion strategies for deriving optimal decisions in multisensor target recognition/tracking environments are analyzed. The problem is viewed as one of parallel fusion of the individual independent decisions with a recursive structure that permits enhancement of the reliability of the fused decision. Instead of a voting-based fusion approach, this recursive structure can be combined with any one of the other optimal fusion techniques as well. An analysis based on a simple voting or consistency-measure-dependent fusion scheme is presented to illustrate the recursive model and its benefits.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>