一种基于点迹重构的异步序贯航迹融合算法

Asynchronous sequential track fusion algorithm based on plot reconstruction

针对异步航迹融合问题,提出了一种基于伪点迹异步序贯航迹融合算法,伪点迹由局部估计结果重构形成,从而无需对局部估计间的相关误差进行处理。同时,对重构的异步伪量测数据情况采用序贯处理方式,这种串行合并式数据处理过程,不但避免了对异步数据进行时间校正的麻烦,反而利用了异步数据增加了多传感器系统的总体数据率,提高了多传感器系统对目标的跟踪精度。并用仿真结果证明了该算法的有效性。

Aimed at asynchronous track fusion problem,a pseudo-point-based asynchronous sequential trace track fusion algorithmis is presented. The pseudo-point track is formed by reconstruction of partial estimated results, thus eliminating the need for processing the correlation error between partial estimation. At the same time, asynchronous reconfigurable measured data pseudo-sequential approach is used to the adoption of this serial data merging process not only avoids the asynehronons data to the trouble of correcting the time, but the use of the asynchronous data an increase of more than the overall sensor system data rate, multi-sensor system improves the tracking accuracy on the target. And simulation results prove the effectiveness of the algorithm.