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Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter

机译:高斯与非高斯杂波中基于JRC系统的机动目标检测

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摘要

Aimed at the problem of detecting maneuvering targets in the Gaussian and sea clutter environments and based on the established motion state model, this paper proposed a new scheme that uses a joint radar-communication (JRC) system with Kalman filter to accurately detect the target with the generalized likelihood ratio test (GLRT) theory and a constant false alarm rate (CFAR) based threshold. Also, the theoretical threshold and probability function of GLRT target detection based on CFAR were given. Moreover, target detection probability of the new JRC system in Weibull and.. distribution clutter is deduced. In addition to theoretical considerations, simulations and measurement results of the new JRC systems demonstrate excellent detection performance for maneuvering targets in the Weibull and k distribution channel.
机译:针对高斯和海杂波环境下机动目标的检测问题,并基于已建立的运动状态模型,提出了一种结合卡尔曼滤波器的联合雷达通信(JRC)系统精确探测目标的新方案。广义似然比检验(GLRT)理论和基于恒定误报率(CFAR)的阈值。给出了基于CFAR的GLRT目标检测的理论阈值和概率函数。此外,推导了新的JRC系统在威布尔和分布混乱中的目标检测概率。除了理论上的考虑外,新JRC系统的仿真和测量结果还显示了Weibull和k分布通道中机动目标的出色检测性能。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第25期|471305.1-471305.9|共9页
  • 作者

    Yao Yu; Wu Lenan; Zhang Chenmei;

  • 作者单位

    Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China;

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