【读书2】【2014】基于MATLAB的雷达信号处理基础(第二版)——σ0的特性(1)

对于给定频率,在所示掠射角范围内的变化为20至25分贝。

For a givenfrequency, the variation with grazing angle over the range shown is 20 to 25dB.

对于给定的掠射角,本例中不同频率之间的反射率变化约为10分贝。

For a given grazingangle, the variation across frequency in this example is about 10 dB.

图2.21是固定频率下不同地形类型的σ0随掠射角变化的一个例子,在这种情况下是S波段。

Figure 2.21 is oneexample of the variation in σ0 versus grazing angle for differentterrain types at a fixed frequency, in this case S band.

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Figure 2.21. S波段σ0随地形类型和掠射角的变化Behavior of σ0 versus terrain type and grazing angle at Sband. (Data from Currie, 2010.)

一般来说,反射率随着地形粗糙度的增加而增大,因此平坦的沙漠地形反射率相对较小,而复杂多变的城市地形反射率则较大。

Generally,reflectivity increase with terrain roughness, from the presumably smootherdesert terrain to the complex, rough urban terrain.

如这些图中所示,σ0受掠射角的影响很大。

As seen in thosefigures, σ0 varies significantly with grazing angle.

一般来说,反射率在非常低的掠射角下迅速减小,在非常高的掠射角(雷达视线垂直于杂波表面)下迅速增大,而在中间的“平坦区域”变化较小。

Generally, itdecreases rapidly at very low grazing angles, and increases rapidly at veryhigh grazing angles (radar look direction normal to the clutter surface), witha milder variation in a middle “plateau region.”

图2.22是这种行为特征的概念示意图。

Figure 2.22 is anotional diagram of this behavior.

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Figure 2.22. 陆地杂波随掠射角变化的σ0曲线General behavior of σ0with grazing angle for land clutter. (After Long, 2001.)

在平坦区域描述σ0特性的一个通用模型是“常数Gamma”模型:

A common model forthe behavior of σ0 over the plateau region is the “constantgamma” model (Long, 2001):

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其中,γ是特定杂波类型在感兴趣雷达频率和极化上的特征常数。

where γ is a characteristicof the particular clutter type at the radar frequency and polarization ofinterest.

该模型预测表明:σ0在垂直入射时达到最大,随着掠射角趋于零时,σ0逐渐变小。

This model predictsthat σ0 is maximum at normal incidence and becomes vanishingly smallas the grazing angle tends to zero.

然而,它不能充分反映在接近垂直或接近零入射角时观察到的σ0变化程度,因此在这两种极端情况下通常使用其它附加模型。

However, it does notadequately reflect the degree of change in σ0 often observed atnear-normal or near-zero incidence angles, and additional models are often usedat these two extremes.

文献中提出了各种关于σ0作为重要参数函数的预测模型。

Various predictivemodels for σ0 as a function of important parameters have beenpresented in the literature.

——本文译自Mark A. Richards所著的《Fundamentals of Radar Signal Processing(Second edition)》

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转载自blog.csdn.net/weixin_42825609/article/details/87965570