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- W2151293345 abstract "The paper studies a model of K-distributed clutter in a radar detection problem. The clutter is modelled with a multidimensional Gaussian probability density function where the variance values are represented by a set of independent random variables distributed with a function. The detection of an a prior known target against the considered K-clutter is studied using the likelihood ratio test. To evaluate the probabilities of false alarm (Pfa) and detection (Pd), we propose, as an alternative to the usual Monte Carlo simulation, a procedure that, resorting to analytical and numerical methods, approximates Pfa and Pd by a power series expansion in terms of a suitable parameter of the model. The numerical work is greatly reduced in the region where the expansion holds. In fact, the high-dimensional integrals involved in the power series expansion are reduced to products of low-dimensional ones. A numerical comparison with the standard Monte Carlo computation has been performed on a test case. The approach used here can be adapted to K-models with correlated Gamma variables." @default.
- W2151293345 created "2016-06-24" @default.
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- W2151293345 date "1995-01-01" @default.
- W2151293345 modified "2023-10-18" @default.
- W2151293345 title "Use of perturbation methods in the problem of radar detection against a K-clutter background" @default.
- W2151293345 doi "https://doi.org/10.1049/ip-rsn:19951996" @default.
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