传统 C3I系统的数据融合算法运算量大 ,融合精度不高。根据我国防空 C3I系统的现状 ,提出了一种新的基于神经网络的防空 C3I系统数据融合算法。由于神经网络是全并行工作 ,所以此算法具有处理速度快、精度高等优点。仿真结果表明 ,航迹交接算法和航迹融合算法的性能都比较好 ,对真实雷达网数据融合有很好的参考价值 The data fusion algorithm of traditional C3I system is computationally intensive and the fusion accuracy is not high. According to the current situation of air defense C3I system in our country, a new data fusion algorithm based on neural network for air defense C3I system is proposed. As the neural network is fully parallel work, so this algorithm has the advantages of fast processing, high precision. The simulation results show that the performance of the trajectory handover algorithm and the trajectory fusion algorithm are good, and it has a good reference value for the data fusion of the real radar network