Performance Analysis of non-Gaussian Sea Clutter Modelling Using Compound Inverted Exponentiated Rayleigh Distribution
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Date
2024-07-01
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Abstract
Radar echo modelling is a major step in the development of robust detection schemes.
Compound Gaussian models are largely used to model non-Gaussian radar clutter and
provided good results, compound models are characterized by two components speckle and
texture, where the speckle component follows Rayleigh law. In this dissertation, the
modelling performance of the compound inverted exponentiated Rayleigh (CIER) distribution
is tested. A comparative study conducted using the real data of high-resolution sea clutter
collected using IPIX radar by McMaster University, Canada. The fitted probability density
function (PDFs) and the complimentary cumulative density functions (CCDFs) of the CIER,
and the well-known compound K, the compound inverse Gaussian (CIG) distributions are
compared with the real PDF and CCDF. The results obtained validate the ability of the CIER
distribution to model high-resolution sea clutter.
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Keywords
Sea clutter, high resolution clutter, modelling