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weibull
- 对雷达杂波分布为weibull功率谱为高斯谱的杂波模型进行仿真.-pair of radar clutter Weibull distribution of the power spectrum of the clutter spectrum Gaussian model simulation.
matlab
- 杂波模型，可用于雷达信号处理中，其中模型为瑞利分布
clutter.rar
- 基于Matlab的 GUI的集成软件，功能包括： 1、海杂波模型仿真和统计分析（瑞利、韦伯、对数和K分布SIRP和ZMNL法）； 2、海杂波/波导参数估计（海杂波、多径和波导参数和雷达探测性能估计）； 3、实测海杂波数据统计分析。,Matlab' s GUI-based integrated software, features include: 1, sea clutter model simulation and statistical analysis (Rayleigh,
clutter3
- 多重分布的杂波模型生成 运用于杂波模拟-many clutter models
zabo_simulation
- 杂波的统计模型仿真程序，有相关瑞利分布模型、相关对数正态模型、相关weibull模型、相关K分布模型。-Statistical model of clutter simulation program, related Rayleigh distribution model, correlation of log-normal model, correlation weibull model, the relevant K distribution model.
clutter
- 机载雷达地、海杂波仿真程序：韦布尔相关模型分布，瑞利分布模型，K分布模型，以及对数分布模型。-Airborne radar, the sea clutter simulation program: relevant model of Weibull distribution, Rayleigh distribution model, K distribution model, as well as the number of distribution models.
K_distribution
- 海杂波K-分布模型模拟仿真程序 海杂波K-分布模型模拟仿真程序-K distribution in matlab
clutter4
- 几种常见的杂波模型，包括瑞利分布，威布尔分布，希望对大家有帮助-Several common clutter modeling，maybe it is helpful for you
sea_clutter
- 二维K分布海杂波模型仿真，配以解说使用视频-Simulation of two-dimensional K distributed sea clutter model
clutter-data-simulation
- 常用分布的雷达杂波模型matlab程序（瑞利，韦布尔，对数正态）- U5E38 u5203 u5E3 u5E03 u7L0 u6F3 u8FBE u672 u6E2 UFF09
radar systems design -1
- 雷达系统建模与仿真的matlab程序，多种随机分布，产生swerling杂波，进行快速傅立叶变换，脉压，进行MTI，以及横虚警，RCS模拟分析，RCS统计模型 SAR雷达信号处理仿真(Modeling and Simulation of radar system matlab program, a variety of random distribution, Swerling clutter, fast Fu Liye transform, pulse pressure, MTI, and t
杂波分布模型
- 该程序对机载雷达杂波幅度分布模型中的瑞利分布模型进行了仿真，采用了零记忆非线性变换法。(The Rayleigh distribution model is simulated in the airborne radar clutter amplitude distribution model, and the zero memory nonlinear transformation method is adopted.)
Kdistribution
- 基于球不变随机过程法，使用复合高斯模型来产生K分布杂波数据的matlab仿真程序 (为了不低于上传文件的大小要求传了两份一样的，编程就几句话实在弄不大）(A matalab simulation program for producing K distribution clutter data, which used compound Gauss model, and is based on spherically invariant random vector method)