K-Distribution Sea Clutter Simulation Program with MATLAB Implementation
MATLAB-based K-distribution sea clutter simulator featuring robust statistical modeling and efficient code structure, ideal for radar signal processing research
Explore MATLAB source code curated for "k分布" with clean implementations, documentation, and examples.
MATLAB-based K-distribution sea clutter simulator featuring robust statistical modeling and efficient code structure, ideal for radar signal processing research
Simulation of Rayleigh, Weibull, Log-Normal, and K-Distributed Clutter with Code Implementation Approaches
MATLAB implementation of K-distribution Gaussian clutter simulation employing grid mapping methodology
MATLAB-based program for fitting various common distributions, including Weibull distribution, Rayleigh distribution, K-distribution, and other distributions, with enhanced descriptions of implementation approaches.
Implementation of SIRP-based coherent correlated K-distributed radar clutter modeling and simulation with MATLAB code structure and algorithm details
A MATLAB-based implementation for modeling and simulating coherent correlated K-distribution radar clutter using the Spherically Invariant Random Process (SIRP) approach. The package consists of three main files: K_distribution.m (main driver script), nonline_eq_sirp.m (nonlinear equation solver for SIRP), and fseries.m (Fourier series implementation for correlation modeling).
SIRP Method for Modeling and Simulation of Coherent Correlated K-Distributed Radar Clutter with Algorithm Implementation Details
Airborne radar ground and sea clutter simulation program featuring: Weibull correlation model distribution, Rayleigh distribution model, K-distribution model, and log-normal distribution model implementations with statistical modeling approaches.
This article is a revised version based on an existing forum post titled "Modeling and Simulation of Coherent Correlated K-Distributed Radar Clutter Using SIRP Method." The revision addresses inconsistencies between the original theoretical formulas and simulation code implementation, provides a summary of 4-day validation work, and serves as a reference for beginners to avoid common pitfalls in implementing Spherically Invariant Random Process (SIRP) algorithms for correlated clutter simulation.
Generation of K-distributed clutter for electromagnetic simulation applications, featuring parameter configuration and algorithm implementation details