摘要
针对联合概率数据互联(JPDA)算法在实际应用中计算量大的问题,提出了一种基于权值概率的GNJPDA算法。该方法不需要像传统的JPDA算法求解复杂的确定矩阵和独立关联矩阵,因而具有计算量小、易于工程实现的特点。对该算法的性能分析和仿真验证表明,与JPDA算法相比,GNJPDA算法具有更好的跟踪性能、更强的通用性和可扩展性;并且在密集杂波多目标环境下可实时、有效地跟踪几十批次的目标。
To solve the problem of heavy eomputation load of JPDA algorithm in practical applications, a GNJPDA algorithm based on weighted probability is proposed. In GNJPDA, it＇s not required to resolve complex definite matrix and independent association matrix as it is in traditional JPDA, so it is easy for engineering implementation with small amount of computation. Performance analysis and simulation verification about GNJPDA show that it achieves better tracking capability, stronger universality and expandability; and in multi-target conditions with dense clutter, GNJPDA can effectively track scores of batches of targets in real time.
出处
《无线电工程》
2009年第10期48-51,共4页
Radio Engineering
关键词
无源定位
航迹关联
权值概率
JPDA
passive location
track association
weighted probability
JPDA
