未知新生目标先验下基于SCK-CBMeMBer的弱小目标检测前跟踪算法研究  

Research on Track Before Detect Algorithm of Dim and Small Targets Based on SCK-CBMeMBer under Unknown New Prior Targets

作　　者：王荣 高振怀 WANG Rong;GAO Zhenhuai

机构地区：[1]宁夏大学新华学院,银川750021

出　　处：《科技创新与应用》2023年第28期24-27,共4页Technology Innovation and Application

基　　金：宁夏大学新华学院科学研究基金项目(21XHKY03)。

摘　　要：该文针对红外弱小目标跟踪场景中未知新生分布先验信息且传统MeMBer会造成势低估的问题,提出一种基于平方根容积卡尔曼滤波势均衡多目标多伯努利的新生目标自动搜索算法并给出高斯混合实现。该算法首先将平方根容积卡尔曼滤波(SCK)算法引入到红外图像的多弱小目标检测跟踪中,用来实现CBMeMBer-TBD算法,同时结合新生目标自动搜索算法,自适应地产生新生弱小目标的分布,而势分布则通过CBMeMBer来实现。仿真实验表明,所提算法能够实现在新生目标未知场景下的红外弱小目标跟踪,且其跟踪精度与传统的MeMBer跟踪算法相比,有明显提高。Aiming at the problem that the prior information of new distribution is unknown and the traditional MeMBer can cause potential underestimation in infrared dim and small target tracking scene,a multi-target multi-Bernoulli automatic searching algorithm based on square root cubature Kalman filter potential equalization is proposed and the Gaussian mixture implementation is given.Firstly,the square-root cubature Kalman filter(SCKF)algorithm is introduced into the infrared image multiple dim and small target detection and tracking,which is used to realize the CBMeMBer-TBD algorithm.At the same time,combined with the new target automatic search algorithm,the distribution of new dim and small targets is generated adaptively,and the potential distribution is realized by CBMeMBer.Simulation results show that the proposed algorithm can achieve infrared dim and small target tracking in unknown scenes of new targets,and its tracking accuracy is obviously improved compared with the traditional MeMBer tracking algorithm.

关 键 词：红外弱小目标 平方根容积卡尔曼滤波 势均衡多目标多伯努利滤波 自动搜索 目标跟踪算法 

分 类 号：TN713[电子电信—电路与系统]