多普勒盲区下基于GM-CBMeMBer的多目标跟踪算法  

GM-CBMeMBer-Based Multi-Target Tracking in the Presence of Doppler Blind Zone

作　　者：魏立兴 孙合敏[1] 吴卫华[1] 罗沐阳 吴晓彪 WEI Lixing;SUN Hemin;WU Weihua;LUO Muyang;WU Xiaobiao(Air Force Early Warning Academy,Wuhan 430019,China)

机构地区：[1]空军预警学院,湖北武汉430019

出　　处：《雷达科学与技术》2018年第5期559-566,共8页Radar Science and Technology

基　　金：国家自然科学基金(No.61601510)

摘　　要：在机载多普勒雷达多目标跟踪(MTT)过程中,多普勒盲区(DBZ)的存在易造成连续漏检,严重地影响目标跟踪性能。针对这一问题,提出了DBZ下基于高斯混合势平衡多目标多伯努利(GM-CBMeMBer)的多目标跟踪算法。首先将带最小可检测速度(MDV)的检测概率模型代入CBMeMBer更新公式中,然后推导了带MDV和多普勒信息的GM-CBMeMBer更新公式。仿真结果表明,相比未并入多普勒和MDV信息的GM-CBMeMBer,所提算法能有效改善DBZ条件下的多目标跟踪性能。In multi-target tracking(MTT)for the airborne Doppler radar,the existence of Doppler blind zone(DBZ)results in a series of missed detections,which strongly deteriorates tracking performance.To overcome this problem,a MTT algorithm based on Gaussian mixture cardinality balanced multi-target multi-Bernoulli(GM-CBMeMBer)is proposed in the presence of DBZ.First,we incorporate the detection probability model with minimum detectable velocity(MDV)into CBMeMBer,and then derive the update formulas of a novel GM-CBMeMBer where the MDV and Doppler information are fully exploited.The results of simulation show that the proposed algorithm outperforms the GM-CBMeMBer which doesn’t incorporate the Doppler and MDV information in the presence of DBZ.

关 键 词：多目标跟踪(MTT) 高斯混合势平衡多目标多伯努利(GM-CBMeMBer) 多普勒盲区(DBZ) 最小可检测速度(MDV) 

分 类 号：TN953[电子电信—信号与信息处理]