表2.3总结了具有和不具有主要散射体的目标的雷达散射截面随视线角和雷达频率变化的几种常见模型。
Table 2.3 summarizesseveral of the more common models for the variability of RCS with aspect angleand radar frequency for targets with and without dominant scatterers.
Table 2.3. 雷达散射截面的常用统计模型Common Statistical Models for Radar Cross Section
单参数PDF
One-parameter PDFs
非波动类型, Marcum, Swerling 0或Swerling 5
Nonfluctuating,Marcum, Swerling 0, or Swerling 5
用于模拟恒定回波功率，例如校准球体或完全静止的目标。
Constant echo power,e.g., calibration sphere or perfectly stationary target with no radar or targetmotion.
指数类型，2自由度的chi-square分布
Exponential,chi-square of degree 2
用于模拟许多随机分布的散射体，无主导散射体，例如Swerling 1和2模型。
Many scatterers,randomly distributed, none dominant. Used in Swerling case 1 and 2 models.
4自由度的chi-square分布
Chi-square of degree4
用于模拟许多小的散射体 + 一个主导散射体，例如Swerling 3和4模型。
Approximation to caseof many small scatterers + one dominant. Used in Swerling case 3 and 4 models.
两参数PDF
Two-parameter PDFs
2m自由度的chi-square分布，Weinstock
Chi-square of degree 2m, Weinstock
——本文译自Mark A. Richards所著的《Fundamentals of Radar Signal Processing（Second edition）》
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