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喻鹏 , 程锦房 , 张伽伟 , 等 . 基于Rao检测器的舰船轴频电场滑动门限检测方法 [J ] . 兵工学报 , 2021 , 42 ( 4 ): 827 - 834 . DOI: 10.3969/j.issn.1000-1093.2021.04.016 http://doi.org/10.3969/j.issn.1000-1093.2021.04.016 为实现非高斯背景噪声和低信噪比情况下的舰船轴频电场检测，提出一种基于Rao检测器的滑动门限检测方法。基于信号源特征建立信号模型，在对水面浮动平台测量背景下环境噪声非高斯特性分析基础上，采用混合高斯模型对噪声进行建模；在检测过程中，实时估计混合高斯噪声模型参数和Rao检测统计量，并将前一段时间的平均Rao检测统计量作为门限，实现滑动门限检测。为验证所提方法的有效性，采用仿真计算的方式，证明Rao检测方法相比于能量检测方法的优势；根据实测数据，对比滑动门限Rao检测方法与滑动功率谱检测方法的性能差异。结果表明，滑动门限Rao检测方法能够有效抑制环境非高斯噪声影响，相比滑动功率谱检测方法具有更好的检测效果。

YU P , CHENG J F , ZHANG J W , et al. Ship shaft-rate electric field sliding threshold detection method based on Rao detector [J ] . Acta Armamentarii , 2021 , 42 ( 4 ): 827 - 834 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2021.04.016 http://doi.org/10.3969/j.issn.1000-1093.2021.04.016 A sliding threshold detection method based on Rao detector is proposed to detect the ship's shaft-rate electric field at a low SNR in non-Gaussian noise environment. A signal model is established based on the characteristics of signal source, and a noise model is established based on Gaussian mixture model (GMM) after analyzing its non-Gaussian characteristics measured by a floating platform. In the detection process, the parameters of GMM and the Rao detection value are computed in real time; the mean value of previous Rao detection values is regarded as the sliding threshold. The simulation method is first used to verify the proposed method. The results show that the detection performance of Rao detector is better than that of energy detector. Then the measured ship data is used to compare the Rao sliding threshold method and the sliding power spectrum method. The results show that the proposed method is better in decreasing the non-Gaussian environment noise and has a better detection performance than the sliding power spectrum method.

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张伽伟 , 喻鹏 , 姜润翔 , 等 . 基于舰船电场的目标跟踪方法研究 [J ] . 兵工学报 , 2020 , 41 ( 3 ): 559 - 566 . DOI: 10.3969/j.issn.1000-1093.2020.03.017 http://doi.org/10.3969/j.issn.1000-1093.2020.03.017 针对舰船电场跟踪中模型准确度与跟踪模型维度之间的矛盾，以舰船电场点电荷阵列模型为基础，结合舰船电场反演算法，分析点电荷个数、观测点水深对建模精度的影响。明确观测点位置对点电荷数量的最少需求，在保证建模精度的同时降低跟踪滤波器的维度，保证滤波算法的稳定性。设计了舰船电场跟踪渐进更新扩展卡尔曼滤波器，并进行了仿真分析和试验验证。结果表明：用少量点电荷模型代替复杂舰船电场点电荷阵列模型，在舰船电场跟踪中是可行的，具有较高的跟踪精度；渐进更新扩展卡尔曼滤波方法对少量点电荷电场模型，能够有效提高初始误差容错范围，具有很高的滤波稳定性，定位误差在500 m范围内小于10 m，且计算代价较低，适合舰船电场跟踪的工程应用。

ZHANG J W , YU P , JIANG R X , et al. Research on target tracking method based on ship electric field [J ] . Acta Armamentarii , 2020 , 41 ( 3 ): 559 - 566 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2020.03.017 http://doi.org/10.3969/j.issn.1000-1093.2020.03.017 For the contradiction between the model accuracy and the tracking model dimension in the ship electric field tracking, the influences of point charge number and the depth of observation point on the accuracy of model are analyzed and the minimum requirement for point charge number on the corresponding depth plane is defined based on the ship electric field point charge array model and the ship electric field inversion algorithm. In the analysis, the dimension of tracking filter is reduced while ensuring the modeling accuracy and the stability of filtering algorithm.A progressive update extended Kalman filter (PUEKF) was designed for the simulation analysis and experimental verification of ship electric field tracking. The results show that a electric field model with a small number of point charges can be used to replace the complex ship electric field point charge array model in ship electric field tracking, which has high tracking accuracy. The PUEKF can effectively improve the initial error tolerance range and has high filtering stability. The tracking error is less than 10m in the range of 500 m. The PUEKF has low computational cost, which is suitable for engineering applications for the ship electric field tracking. Key

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