Multiple Sensor Registration Using Simulated Annealing Algorithm

Sensors registration is a basic problem in all mutisensor data fusion and tracking systems. Traditionally, it is solved by the least square method or maximum likelihood method which are sensitive to noise. In this paper, we propose a new nonparametic approach for sensor registration. Firsly, the problem of systematic errors in multiple sensor data fusion is transformed into nonlinear optimization problem. Then, it is solved with simulated annealing algorithm. By numerical simulation, the method of this paper shown to be more efficient and precise than linear method and at the same time it is not sensitive to noise.