Research on track fusion in radar networking

Distributed multisensor integration methods are always proposed ignored the system errors of the sensors, which degrade the precision of the fusion greatly. In this paper we discussed the influence of the system errors to the precision of the multisensor fusion, and then presented an algorithm based on maximum likelihood model, which can implement fusion and registration altogether. Simulations show that the precision of this method is superior to the original method greatly. Since the system errors are estimated by the maximum likelihood, fusion can also be implement after registration, simulations show the precision of this method is inferior to the maximum likelihood fusion, somewhat.