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Recent investigations have resulted in the derivation of a multivariate Pareto model, which is consistent with the compound Gaussian model framework, allowing one to describe statistically a correlated Pareto distributed sequence. This has permitted the development of noncoherent sliding window detection processes, for operation in an X-band maritime surveillance radar context, which account for correlated...
A method for simulating coherent sea clutter has been adapted for Pareto distributed clutter by using an inverse gamma distribution for the local clutter intensity. The model is applied to the range variation of Doppler spectra from Pareto distributed clutter collected at grazing angles of 31°–37° with the DSTO Ingara radar. The model produces Doppler spectra with a Gaussian shape that vary with range...
Sea-clutter has been studied for many years over a range of sea conditions, polarisations and geometries. The Defence Science and Technology Organisation's (DSTO) Ingara airborne X-band fully polarimetric radar has been used to collect data in the medium grazing angle region to evaluate models of the observed sea phenomenology and determine their impact on target detection. The focus of this work...
We investigated the robustness of the linear detector operating in a Gaussian environment in the presence of a mismatch between the design interference covariance matrix and the actual one. We have suggested that the Gaussian environment consists of a known colored clutter, a white noise and a strong unwanted periodical signal with unknown nonstationary power. It has been obtained the asymptotic inverse...
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