Accession Number : ADA314308
Title : Multisensor Track-to-Track Fusion for Airborne Surveillance Systems.
Descriptive Note : Final technical rept. Sep 95-Mar 96,
Corporate Author : NOVA RESEARCH CORP BILLERICA MA
Personal Author(s) : Saha, R. K. ; Chang, K. C. ; Kokar, M. M.
PDF Url : ADA314308
Report Date : JUL 1996
Pagination or Media Count : 61
Abstract : This report describes a track-to-track fusion algorithm for airborne surveillance systems employing multiple dissimilar sensors (radar, LR, and laser radar). These sensors detect targets and create tracks at different data rates. The algorithm presented performs synchronization by predicting the slower tracks to the update times of the faster tracks. The synchronized tracks are then tested for association to determine whether or not the two tracks originated from the same target. It is shown that the probability distribution of correct track association can be improved if the test statistic for association incorporates cross-covariance between the two tracks. A recursive algorithm for computing the cross-covariance is obtained. In addition, a trade-off study involving the probability of correct association, number of track matching points, size of association gate, and probability of false correlation has been prepared. These algorithms are coded in MATLAB and the results of simulations confirming the proof of concept are also presented.
Descriptors : *AERIAL RECONNAISSANCE, *AIR DEFENSE, *AIRBORNE, *TACTICAL RECONNAISSANCE, *DATA FUSION, *TARGET DETECTION, *MULTISENSORS, KINEMATICS, MATHEMATICAL MODELS, ALGORITHMS, OPTICAL RADAR, SIMULATION, DETECTORS, INFORMATION EXCHANGE, PROBABILITY DISTRIBUTION FUNCTIONS, GATES(CIRCUITS), RADAR, WEIGHTING FUNCTIONS, CORRELATION, RECURSIVE FUNCTIONS, COVARIANCE, DATA RATE, TRADE OFF ANALYSIS, DATA LINKS, SURVEILLANCE.
Subject Categories : Defense Systems
Target Direction, Range and Position Finding
Distribution Statement : APPROVED FOR PUBLIC RELEASE