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Sequential processing JIPDA for multitarget tracking in clutter using multistatic passive radar

机译:使用多静态无源雷达的杂波多目标跟踪的顺序处理JIPDA

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The target tracking using multistatic passive radar in a digital audio/video broadcast (DAB/DVB) network with uncertain illuminators of opportunity faces two main challenges: one is the three-dimensional (3-D) data association problem among the target-measurement-illuminator due to the uncertainty of illuminators of opportunity; the other is that only the bistatic range and range-rate measurements are available since the angle information is unavailable or of very poor quality. In this paper, the authors propose two tracking algorithms directly in a two dimensional (2-D) Cartesian coordinates with the capability of false track discrimination (FTD) using the probability of target existence: the modified joint integrated data association (MJIPDA) and the sequential processing joint integrated data association (SP-JIPDA). The MJIPDA algorithm is enhanced based on the existing MJPDA algorithm by using the probability of target existence for FTD. The SP-JIPDA algorithm sequentially operates the JIPDA tracker to update each track for each illuminator with all the measurements in the common measurement set at each time. A simulation study is performed to verify the validity of both algorithms in this multistatic passive radar system.
机译:在机会照明器不确定的数字音频/视频广播(DAB / DVB)网络中使用多静态无源雷达进行目标跟踪面临两个主要挑战:一是目标测量中的三维(3-D)数据关联问题-由于机会照明器的不确定性而导致的照明器;另一种是由于角度信息不可用或质量很差,因此只能进行双站范围和范围率测量。在本文中,作者提出了两种利用目标存在概率直接在二维(2-D)笛卡尔坐标系中进行虚假轨道判别(FTD)的跟踪算法:改进的联合集成数据关联(MJIPDA)和顺序处理联合集成数据协会(SP-JIPDA)。通过使用FTD目标存在的概率,在现有MJPDA算法的基础上增强了MJIPDA算法。 SP-JIPDA算法顺序操作JIPDA跟踪器,以每次每次使用公共测量集中的所有测量值更新每个照明器的每个轨道。进行了仿真研究,以验证这两种算法在该多静态无源雷达系统中的有效性。

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