Radar cross section (RCS) statistical characterization using weibull distribution

被引：35

作者：

Shi, Weiqiang ^{[1
]}

Shi, Xiao-Wei ^{[1
]}

Xu, Le ^{[1
]}

机构：

[1] Xidian Univ, Natl Key Lab Sci & Technol Antennas & Microwaves, Xian 710071, Shaanxi, Peoples R China

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2013年 / 55卷 / 06期

关键词：

RCS characterization; Weibull distribution; parametric meaning; fitting goodness test; CLUTTER;

D O I：

10.1002/mop.27557

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

Radar target's backscatter varies rapidly because of change in the relative position of each scatterer, body vibration while moving and so on. Weibull distribution is adopted as an inclusive description of the envelope of various targets' backscattering in this paper. Weibull distribution is expressed as a function of two parameters, shape parameter and scale parameter. The parametric meanings are discussed with the distribution curves of different parameter values plotted. The authors find that Weibull distribution with a proper shape parameter can be an impressively good approximation of some existing RCS distribution models. A parameter estimation method is provided. Two examples are shown to illustrate the application of Weibull distribution. (c) 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:13551358, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27557

引用

页码：1355 / 1358

页数：4

共 8 条

[1]

Statistical Analysis of VHF-Band Tree Backscattering Using Forest Ground Truth Data and PO Scattering Model [J].