A multi-sensor correlation processor with an alpha, beta and gamma tracker is introduced as the multi-sensor fusion track model to address the multi-target and maneuvering targets. The new system requires no algorithmic matrix inversion and can be proven to be mathematically equivalent to the popular multi-sensor fusion track model in accuracy. The new multi-sensor fusion track model consists of the sensors, I/O parameter transformation processor, multi-sensor correlation processor, the alph, beta, and gamma tracker, and the operator and platform Interface unit. We believe that this solution is easy in algorithmic implementation, and can provide reduced computational time and computer memory by avoiding matrix inversion. The new multi-sensor fusion track system should be considered as an applied fusion model to solve the real time multi-target problem.