基于声强向量法的体积目标被动跟踪和尺度估计

Passive tracking and size estimation of volume target based on acoustic intensity vector

摘要: 根据体积目标的几个特定部位的辐射噪声特性的不同,应用声强向量方法对它们进行观测,然后,应用卡尔曼滤波器对它们进行跟踪,并实现目标纵向尺度的估计。仿真结果表明:本文方法能在理想模型条件下实现体积目标的各个特定部位的良好跟踪并能完成目标纵向尺度的估计;即使在某一部位不可观测的条件下,该方法也可较好地实现对各个部位的跟踪和目标纵向尺度的估计。

Abstract: in the paper the special parts of volume target are observed with acoustic intensity vector according to difference among their radiated noise characteristics, then three parts are tracked with Kalman filter, and target size is estimated. Emulation results indicate that in ideal condition three parts of ship can be tracked and ship's size can be estimated even though one of three parts can not be observed.