We are developing new simple algorithms to provide automatic methods for fusing data from multiple passive sensors and multiple targets in real time. Initially, we have developed algorithms to fuse data from multiple passive collocated sensors measuring the same quantities (bearing and bearing rate) from multiple targets. MATLAB results with simulated data have been very encouraging. We present results for the probability of correct data association (PA) and the probability of false data association (PFA) as a function of target angular separation, random noise, and the number of data updates used in the sequential probability ratio test (SPRT).
Donald G. Polvani,
"Simple real-time data fusion", Proc. SPIE 4385, Sensor Fusion: Architectures, Algorithms, and Applications V, (22 March 2001); doi: 10.1117/12.421111; https://doi.org/10.1117/12.421111