Adaptive Doppler filtering applied to modern air traffic control radars

K. J. Anderson, J. Ward, R. O'Donnell
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引用次数: 1

Abstract

This paper presents an analysis of the Doppler processing technology currently in use in the USA's terminal airport surveillance radars, and examines possibilities for performance improvement, particularly in the presence of moving clutter. The research focuses on five- and eight-pulse waveform methodologies and their respective detection capabilities given clearly defined rain clutter scenarios. Performance with fixed coefficient filters similar to those used in the existing radars is calculated, followed by performance using an adaptive Doppler filtering technique. Performance is quantified in terms of signal-to-interference ratio at the output of the Doppler filters and resultant probability of detection given a specified probability of false alarm. The results show that a substantial improvement in detection in the vicinity of rain clutter is realized for both the five- and eight-pulse waveforms when using the adaptive coefficient Doppler filters as compared to the performance observed with the fixed coefficient filters. For constant filter weights, the eight-pulse Doppler filters give significantly better performance in most diverse rain clutter than the five-pulse Doppler filters.
自适应多普勒滤波在现代空管雷达中的应用
本文介绍了多普勒处理技术目前在美国使用的终端机场监视雷达的分析,并检查性能改进的可能性,特别是在移动杂波的存在。研究的重点是五脉冲和八脉冲波形方法及其在明确定义的雨杂波场景下各自的检测能力。计算了与现有雷达相似的固定系数滤波器的性能,然后计算了自适应多普勒滤波技术的性能。性能是量化的在多普勒滤波器的输出信号干扰比和产生的概率检测给定的特定概率的假警报。结果表明,与固定系数滤波器相比,采用自适应系数多普勒滤波器对五脉冲和八脉冲波形在雨杂波附近的探测性能都有显著提高。对于恒定的滤波器权重,八脉冲多普勒滤波器在大多数不同的雨杂波中比五脉冲多普勒滤波器具有更好的性能。
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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