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Adaptive zero mean system for controlling noise false alarm rate

机译:自适应零均值系统,用于控制噪声虚警率

摘要

A false alarm control processor that receives sampled input radar video data and provides an output signal having a zero mean value. The processor accumulates the sample video for a range sweep of range bins, then stores the value and resets a counter. The stored value is scaled to form an estimate of the mean and subtracted from the input video signals of the following sweep. To prevent the mean from being biased by strong targets, a target exclusion function may be included to prevent accumulation of video from strong targets. However, if the noise or jamming level has increased for more range bins than a target would occupy, the video is then sampled by the accumulator so that the mean is responsive to changes in the level of the noise. Thus, the system provides a constant false alarm rate and accurate azimuth estimation in the azimuth integrator filter as well as allowing the azimuth integrator to operate with a relatively small dynamic range.
机译:一种错误警报控制处理器,其接收采样的输入雷达视频数据并提供平均值为零的输出信号。处理器会为范围档的范围扫描累积样本视频,然后存储该值并重置计数器。缩放存储的值以形成平均值的估计值,并从后续扫描的输入视频信号中减去该值。为了防止平均值受到强目标的影响,可以包含目标排除功能,以防止来自强目标的视频积累。但是,如果噪声或干扰水平的增加幅度超出了目标所能占据的范围,则视频将由累加器采样,以使平均值能够响应噪声水平的变化。因此,该系统在方位积分器滤波器中提供了恒定的误报率和准确的方位估计,并且允许方位积分器以相对较小的动态范围工作。

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