Data association

which is one of the key and difficult problems for multi-target tracking

is the decision process of linking the measurements or the tracks deemed to be of common origin under certain criteria.All typical data association algorithms can be deducted into special assignment problems.However

present S-D assignment algorithm only associates the synchronous measurements from different sensors

which only generate the static result.The static assignment algorithm(S-D) has been generalized to the dynamic S-D one by means of combining the measurement set and the track set.On this basis

the circumstance of fresh targets existing is taken into account

and the relationship between the dynamic and the static assignment algorithms is discussed.At last

a Monte Carlo simulation is used to analyze the performance of the method.The simulation results show that the dynamic multidimensional assignment algorithm

proposed in this paper

can steadily track multi-target.