摘要
引入了一种新型的目标信息融合方法——联合目标跟踪分类(JTC)技术,实现了对目标状态和目标类型双向依赖关系的建模,研究了对目标状态和类型不确定性的联合描述方法,并利用粒子滤波器对该方法进行递推求解,得到了具有模块化结构的JTC算法。利用2类目标外场测试数据进行了算法验证,结果表明该方法是一种有效的毫米波探测器目标识别方法。
A new type of target information fusion method-joint target tracking/classification techniques（referred to JTC） are introduced in this paper.It is established a model about the relationship between target state and type.It is studied the joint description method on uncertainty of target state and type,and advanced recursive solving with particle filter.It has the JTC algorithm of modular structure.The algorithm is verified with two targets test data.The results show that this target recognition algorithm is excellent.
出处
《现代雷达》
CSCD
北大核心
2010年第11期47-49,57,共4页
Modern Radar
基金
国家自然科学基金资助项目(60901008)
