Absfracf-Data fusion is the process to synthetically calculate information coming from several sensors, which helps reduce possible mistakes o r uncertainty of apperceiving targets in the information process. A general performance evaluation platform is introduced for data fusion algorithms which can be used for the distributed multi-target tracing process. The improved insert-value method was implemented to simulate the original three-dimension data and a disturb model which considers the sensor performance and uncertain factors was applied. Furthermore, we put forward a criterion to assess the synthetic performance. Efficiency and validity were substantiated by the simulated examination. For testing one or several data fusion algorithms which are available o r being investigated, the system can supply a practical appraising method. I ,