An Improved Backward Smoothing Method Based on Label Iterative Processing

Effective target detection and tracking has always been a research hotspot in the field of radar, multi-target is focus radar at present. In order to effectively deal with issue outlier removal track initiation determination process tracking, this paper proposes an improved backward smoothing method based on label iterative processing. This corrects loophole original method, which can cause estimated values be erroneously removed due missing detection, so that it correctly removes outliers tracking. addition, proposed also combines processing eliminate invalid short-lived tracks. The results simulation experiments actual data verification showed Compared accuracy cardinality estimation performance certain extent. Moreover, without affecting algorithm performance, method’s efficiency could by increasing pruning threshold. Finally, was compared existing methods, verifying its better than methods.