Signal processing for ZLC-configuration insect-monitoring radars: Yields and sample biases

V. Drake
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引用次数: 6

Abstract

A radar design that has proved effective for monitoring insect migratory flights employs a vertical beam in which rotating linear polarization is combined with a very narrow-angle conical scan - the “ZLC configuration”. The rather complicated echo-intensity time series produced when an individual insect traverses the radar's beam contains information about the insect's size, shape, orientation, and trajectory. However, retrieval of the various parameters is not always successful and some types of targets and target traverses are more vulnerable to processing failure than others. Variations in the ability of a profiling radar to detect targets of different sizes and at different heights are understood and can be corrected for if the target sizes and speeds are known (as is the case with a fully analyzed ZLC echo), but differences in processing success rates represent an additional source of bias. This preliminary study identifies height, the peak signal intensity, and target numbers as factors affecting processing yield, and presents some examples to illustrate how they act. These three quantities are available for all detected targets, as is required for use in any scheme for taking account of processing losses when generating profiles of target density (and other measures of insect activity of value to entomologists).
zlc配置昆虫监测雷达的信号处理:产量和样本偏差
一种已被证明有效监测昆虫迁徙飞行的雷达设计采用了一种垂直波束,其中旋转线性偏振与非常窄角度的锥形扫描相结合-“ZLC配置”。当单个昆虫穿过雷达波束时,产生的相当复杂的回波强度时间序列包含了昆虫的大小、形状、方向和轨迹等信息。然而,各种参数的检索并不总是成功的,某些类型的目标和目标遍历比其他类型的目标更容易受到处理失败的影响。轮廓雷达探测不同尺寸和不同高度目标的能力的变化是可以理解的,如果目标尺寸和速度已知(就像完全分析的ZLC回波的情况一样),可以进行纠正,但是处理成功率的差异代表了额外的偏差来源。本初步研究确定了高度、峰值信号强度和目标数作为影响处理产量的因素,并提出了一些例子来说明它们是如何起作用的。这三个数量可用于所有检测到的目标,因为在生成目标密度剖面(以及对昆虫学家有价值的其他昆虫活动测量)时,任何计划都需要考虑处理损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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