A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.
CROSS-REFERENCE
This application is a divisional of U.S. application Ser. No. 10/395,269, filed Mar. 25, 2003 (now U. S. Pat. No. 6,909,997 issued Jun. 21, 2005), which was at the time the present application was filed and for which priority is claimed under 35 U.S.C. .sctn. 120. Application Ser. No. 10/395,269 claimed priority under 35 U.S.C. .sctn. 119(e) on U.S. Provisional Application No. 60/367,282, filed on Mar. 26, 2002. The entire contents of these applications are hereby incorporated by reference.
