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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Chi-squared target models ： ウィキペディア英語版 Chi-squared target models Swerling models were introduced by Peter Swerling and are used to describe the statistical properties of the radar cross-section of complex objects. ==General Target Model== Swerling target models give the radar cross-section (RCS) of a given object using a distribution in the location-scale family of the chi-squared distribution. :$p(\backslash sigma)\; =\; \backslash frac\; e^\}\}$ I_(\sigma) where $\backslash sigma\_$ refers to the mean value of $\backslash sigma$. This is not always easy to determine, as certain objects may be viewed the most frequently from a limited range of angles. For instance, a sea-based radar system is most likely to view a ship from the side, the front, and the back, but never the top or the bottom. $m$ is the degree of freedom divided by 2. The degree of freedom used in the chi-squared probability density function is a positive number related to the target model. Values of $m$ between 0.3 and 2 have been found to closely approximate certain simple shapes, such as cylinders or cylinders with fins. Since the ratio of the standard deviation to the mean value of the chi-squared distribution is equal to $m$−1/2, larger values of $m$ will result in smaller fluctuations. If $m$ equals infinity, the target's RCS is non-fluctuating. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Chi-squared target models」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.