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Maneuvering Detection Using Multiple Parallel CUSUM Detector

机译：使用多个并行CUSUM检测器的机动检测

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摘要

The switching model tracking algorithm based on hard decisions is an important method to solve the maneuvering target tracking problem. The use of Doppler velocity not only helps shorten the delay time of maneuvering detection but also provides information about the target motion model. A novel target maneuvering detection method named Multiple Parallel Cumulative Sum (M-CUSUM) for target multiple maneuvering models is proposed in this paper based on Doppler velocity. The main scheme of the proposed approach consists of the following: firstly, the problem framework of multiple model maneuvering detection is put forward; secondly, the statistic of acceleration is obtained through modeling the mapping relationship between Doppler velocity and the normal/tangential acceleration according to the geometry and kinematics; thirdly, the joint empirical distribution of the normal/tangential acceleration is obtained by the statistical experiment method and then the approximate joint probability distribution function of the normal/tangential acceleration is acquired by use of Gaussian Mixture Model (GMM) with Expectation Maximization (EM) algorithm; fourthly, it is taken as the prior information of target maneuvering which is introduced to the likelihood ratio of prediction measurement residual by the marginalization method; finally, the standard Cumulative Sum (CUSUM) detector is extended as Multiple Parallel CUSUM detector. Simulation results show that M-CUSUM detector has a smaller maneuver onset detection delay time compared with similar detectors and has the ability of pattern recognition of target maneuvers.
机译：基于硬决策的切换模型跟踪算法是解决机动目标跟踪问题的重要方法。多普勒速度的使用不仅有助于缩短机动检测的延迟时间，而且可以提供有关目标运动模型的信息。提出了一种基于多普勒速度的目标多机动模型的目标机动检测新方法，即多并行累积和（M-CUSUM）。该方法的主要方案包括以下几个方面：首先，提出了多模型机动检测的问题框架。其次，根据几何学和运动学，通过模拟多普勒速度与法向/切向加速度之间的映射关系来获得加速度统计量。然后，通过统计实验方法获得正/切向加速度的联合经验分布，然后利用高斯混合模型（GMM）和期望最大化（EM）获得正/切向加速度的联合概率分布函数。算法;第四，将其作为目标机动的先验信息，通过边际化方法引入到预测测量残差的似然比中。最后，标准累积和（CUSUM）检测器扩展为多并行CUSUM检测器。仿真结果表明，与同类检测器相比，M-CUSUM检测器具有较小的机动开始检测延迟时间，并且具有目标机动的模式识别能力。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第3期|5062184.1-5062184.17|共17页
  • 作者

    Liu Hongqiang; Zhou Zhongliang; Lu Chunguang;

  • 作者单位

    Air Force Engn Univ, Aeronaut & Astronaut Engn Coll, Xian, Shaanxi, Peoples R China;

    Air Force Engn Univ, Aeronaut & Astronaut Engn Coll, Xian, Shaanxi, Peoples R China;

    Air Force Engn Univ, Aeronaut & Astronaut Engn Coll, Xian, Shaanxi, Peoples R China;

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