Radar Clutter Modeling: Density Plots, Power Spectra, and MATLAB Simulations for Rayleigh, Weibull, and Log-Normal Distributions
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Density plots and power spectra for Rayleigh, Weibull, and log-normal distributions serve as essential tools in radar clutter research. To better understand and analyze radar clutter characteristics, MATLAB simulation programs provide effective modeling and experimental capabilities. These simulations enable researchers to deeply investigate the statistical properties and signal processing methods of radar clutter. The implementation typically involves probability density function calculations using built-in MATLAB functions like 'raylpdf' for Rayleigh distribution, 'wblpdf' for Weibull distribution, and 'lognpdf' for log-normal distribution, followed by spectral analysis using FFT algorithms for power spectrum generation. By observing and analyzing these graphical representations, researchers can develop more comprehensive and accurate understanding of radar clutter behavior, including parameter estimation techniques and clutter suppression algorithms.
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