多功能相控阵雷达点迹融合技术研究

相控阵雷达由于工作方式的多样性与波束的灵巧性,其点迹融合比常规情报雷达组网的融合更复杂。通过对相控阵雷达数据特性与控制特性的深入分析,提出了一种伪序贯交互多模型滤波点迹融合算法。该算法将按照一定的时间周期,统一处理时间间隔内的多雷达点迹,在获得与每条航迹相关的点迹后,将关联点迹按时间排序,凝聚时戳非常接近的点迹,然后序贯用于航迹的交互式滤波。最后,通过实际试飞试验,对算法进行了验证,结果表明,融合后航迹的稳定性和精度都得到了提高。

A Study on Plot Fusion of Multifunctional Phased Array Radar

Due to the multiform working style and agile beam of phased array radar, its plot fusion has more difficulty than conventional netted information radar fusion processing. On the basis of having carried out deep analysis on specialist of phased array radar, a new fusion algorithm named pseudo sequence interacting multiple model filtering (PSIMMF) is brought forward. The underlying algorithm processes observations from all the netted radars in a desired time interval cycle. When the observations associated with one track are acquired, they will be sorted by their time stamp in an ascending order. If the time stamp of associated observations is too close, they need to be combined. Then the preprocessed observations are sequence used in the track's interacting multiple model filtering. Finally, practical flight experiments are carried out to evaluate the algorithm's performance. Results indicate that the tracking stability and precision are improved by plot fusion.