基于阵元域数据的联合检测与跟踪算法  

A unified method for target detection and tracking based on data from sensors of array

作　　者：王忠[1] 陈伏虎[1] 

机构地区：[1]杭州应用声学研究所,杭州310012

出　　处：《声学学报》2007年第6期553-558,共6页Acta Acustica

摘　　要：为了提高对弱目标的检测与跟踪能力,采用一种基于阵元域数据驱动的联合检测与跟踪算法。在假定多目标信号互不相关,且目标个数已知的条件下,采用最大后验(MAP)方法从阵元域数据中直接估计目标的状态。与传统的检测跟踪算法不同,该算法在目标方位信息的基础上,增加能量信息,用于目标跟踪从而提高跟踪能力,同时又通过跟踪目标轨迹的预测以提高检测能力。仿真结果显示,该算法可提高对弱目标的检测能力和跟踪能力,解决传统的跟踪算法对于交叉目标的错跟与失跟问题,在目标非快速机动的情况下得到很好的检测跟踪结果。海试结果显示该算法具有重要的实际工程应用价值。A unified method for target detection and tracking based on data from sensors of array is presented in order to improve the detection and tracking ability of the weak targets with low signal-to-noise ratio. Assuming that the multiple targets are uncorrelated each other and the number of the targets is known as a prior, then the status of the targets can be estimated with the Maximum A-Posteriori （MAP） method directly through the data from sensors of array. The proposed method is different from the classical method in that it can detect and track targets simultaneity based on energy and information about Direction of Arrival （DOA）. Simulation results show that the detection and tracing capabilities of the weak targets can be improved and the wrong tracing and the missing tracing, which lies in the general tracing method when it comes to the cross targets, can be solved with the proposed method. The real trail results show that the proposed method is of practical engineering value.

关 键 词：跟踪算法 联合检测 元域 跟踪能力 检测能力 数据驱动 目标信号 直接估计 

分 类 号：O429[理学—声学]