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Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments

机译:德国不同农村环境的双基地雷达地杂波统计分析

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摘要

This article presents the statistical analysis of bistatic radar rural ground clutter for different terrain types under low grazing angles. Compared to most state-of-the-art analysis, we present country-specific clutter analysis for subgroups of rural environments rather than for the rural environment as a whole. Therefore, the rural environment analysis is divided into four dominant subgroup terrain types, namely fields with low vegetation, fields with high vegetation, plantations of small trees and forest environments representing a typical rural German environment. We will present the results for both the summer and the winter vegetation. Therefore, bistatic measurement campaigns have been carried out during the summer 2019 and the winter of 2019/20 in the aforementioned four different rural terrain types. The measurements were performed in the radar relevant X-band at a center frequency of 8.85 GHz and over a bandwidth of 100 MHz according to available transmit permission. The distinction of the rural terrain into different subgroups enables a more precise and accurate clutter analysis and modeling of the statistical properties as will be shown in the presented results. The statistical properties are derived from the calculated clutter amplitudes probability density functions and corresponding cumulative distribution functions for each of the four terrain types and the corresponding season. The data basis for the clutter analysis are the processed range-Doppler maps from the bistatic radar measurements. According to the authors’ current knowledge, a similar investigation based on real bistatic radar measurement data with the division into terrain subgroups has not yet been carried out and published for a German rural environment.
机译:本文介绍了在低掠地角下不同地形类型的双基地雷达农村地物的统计分析。与大多数最新分析相比,我们针对农村环境的子组而不是整个农村环境提出了针对特定国家的杂波分析。因此,农村环境分析被分为四个主要的亚组地形类型,即植被低的田地,植被高的田地,小树的人工林和代表典型德国乡村环境的森林环境。我们将介绍夏季和冬季植被的结果。因此,在上述四种不同的乡村地形类型中,于2019年夏季和2019/20冬季进行了双站测量活动。根据可用的发射许可,在雷达相关的X波段中以8.85 GHz的中心频率并在100 MHz的带宽上进行了测量。将农村地形分为不同的子组,可以对统计属性进行更精确的杂波分析和建模,如显示的结果所示。统计属性从四种地形类型和相应季节的每种计算出的杂波振幅概率密度函数和相应的累积分布函数中得出。杂波分析的数据基础是来自双基地雷达测量的已处理距离多普勒图。根据作者目前的知识,尚未针对德国乡村环境进行过类似的调查,该调查基于真实的双基地雷达测量数据,并将其分为地形子组。

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