Accession Number : ADA330176
Title : A Fuzzy Logic Multisensor Association Algorithm: Theory and Simulation
Corporate Author : NAVAL RESEARCH LAB WASHINGTON DC SURFACE ELECTRONIC WARFARE SYSTEMS BRANCH
Personal Author(s) : Smith, James F., III
PDF Url : ADA330176
Report Date : 30 SEP 1997
Pagination or Media Count : 24
Abstract : A recursive multisensor association algorithm has been developed based on fuzzy logic. It simultaneously determines fuzzy grades of membership and fuzzy cluster centers. It is capable of associating data from various sensor types and performing without operator intervention. It associates data from the same target for multiple sensor types. The algorithm also provides an estimate of the number of targets present, reduced noise estimates of the quantities being measured, and a measure of confidence to assign to the data association. The fuzzy logic formalism used offers the opportunity to incorporate additional information or heuristic rules easily. A comparison of the algorithm to a more conventional Bayesian association algorithm is provided. Also, procedures for defuzzification, i.e., mapping fuzzy results to hard results are discussed as well as the method of determining target validity. Various simulated real time data sets are analyzed and provide a basis for comparison of the fuzzy and Bayesian association algorithms.
Descriptors : *ELECTRONIC SUPPORT MEASURES, *MULTISENSORS, *FUZZY LOGIC, ALGORITHMS, RADAR, TARGETS, RECURSIVE FUNCTIONS, HEURISTIC METHODS, FUZZY SETS, NOISE REDUCTION, BAYES THEOREM.
Subject Categories : Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE