随着无序量测算法研究的不断深入, 分布式系统中的无序航迹融合估计问题也已经引起了研究者的关注。针对带有反馈的分布式结构下的无序航迹问题, 提出了基于递推融合NALE判决机制的融合算法。算法采用递推融合NALE判决机制, 在融合中心递推处理周期内无序到达的局部估计。而后, 在系统融合周期结束时刻将全局估计反馈到局部处理器。通过理论分析和仿真实验说明算法可有效处理无序航迹问题, 同时提高了系统稳定性和实时性。

With the development of researches on out-of-sequence measurement problem, attentions have been given to the out-of-sequence track (OOST) fusion problem existed in distributed system.Aiming at the out-of-sequence track fusion problem in distributed system with feedback, we put forward a fusion algorithm based on recursive fusion NALE mechanism.In fusion center, the local estimation arrived out-of-sequence was processed recursively.And at the end of global fusion period, the global estimation was fed back to the local processor.Theoretical and simulation results indicate that the new algorithm can effectively deal with OOST problem, and can improve the stability and real-time performance of the system.