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数据处理在提高雷达作用距离中的应用 被引量:2

Application of Data Processing in Increasing Radar Range
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摘要 现代雷达需要有较好的低截获特性,同时在大量低RCS目标出现后,雷达要增强对这些目标的探测能力,就必须降低信号处理的检测门限,然后通过数据处理的方法,沿目标的运动路径将回波幅度进行非相参积累,以降低虚警率。本文通过将低门限检测、卡尔曼滤波、动态规划法相结合的办法,将雷达可靠检测的信噪比降低6dB左右,相当于将雷达的最大作用距离提高了近30%,并给出了仿真结果。 Modern radar is required to have good performance of low intercept. In the presence of ever-increasing number of low RCS targets, modern radar must lower the detection threshold for signal processing in order to enhance its detection capability of these kinds of targets. Then it can undertake data processing by incoherent integration of echo amplitude along the direction of target movements to obtain lower false alarm rate. This paper combines the lower threshold detection, Kalman filtering and dynamic planning to lower the reliable detection S/N ratio of radar by about 6dB, which is equivalent to an increase of maximum radar detection range by about 30%. Simulations have been given at the end of this article.
作者 刘延峰
出处 《火控雷达技术》 2006年第2期29-33,共5页 Fire Control Radar Technology
关键词 检测前跟踪 非相参积累 动态规划 卡尔曼滤波 track-before-detect incoherent integration dynamic planning Kalman filter
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参考文献10

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共引文献34

同被引文献11

  • 1张海英,张田文,温玄.基于对比度积累的弱点目标检测[J].哈尔滨工业大学学报,2007,39(3):447-451. 被引量:4
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  • 9LONG Yunli,XU Hui,AN Wei,LIU Li.Track-before-detect for Infrared Maneuvering Dim Multi-target via MM-PHD[J].Chinese Journal of Aeronautics,2012,25(2):252-261. 被引量:19
  • 10林再平,周一宇,安玮.改进的概率假设密度滤波多目标检测前跟踪算法[J].红外与毫米波学报,2012,31(5):475-480. 被引量:20

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