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.
