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The dimensionality effect is avoided by the use of sufficient statistics in event probability estimators realised by importance sampling. If the system function is not a sufficient statistic, an approach is proposed to reduce the dimensionality effect in the estimators. Simulation results of false-alarm probability estimations, applied to radar detection, confirm a clear concordance with the theoretical...
It is clear that in the near future much broader transmissions in the HF band will replace part of the current narrow band links. Our personal view is that a real wide band signal is infeasible in this environment because the usage is typically very intensive and may suffer interferences from all over the world. Therefore, we envision that dynamic multiband transmissions may provide better satisfactory...
We envision that dynamic multiband transmissions taking advantage of the receiver diversity (even for collocated antennas with different polarization or radiation pattern) will create a new paradigm for these links guaranteeing high quality and reliability. However, there are many challenges to face regarding the use of broadband reception where several out of band (with respect to multiband transmission)...
The principal parameters of a multipath channel are the delay and the gain coefficient of each path, and the number of significant paths. We develop a methodology for estimating path-delays and path-coefficients and applied it to the ionospheric channel estimation. Also, if path coefficients are stationary random processes, the power spectral density of the coefficients can be estimated from measured...
A new radar detector is presented, named as ??modified permutation test?? (MPT) for the rest of the article. This detector is a modification of the classical ??permutation test?? (PT), based on the histogram of the PT statistic obtained with a fast permutation test algorithm (i.e. based on linear convolutions of histograms, corresponding to the realization of additions in the PT statistic), and a...
In this paper, we analyze the performance of some nonparametric detectors (permutation and rank tests) against the parametric ones. The detector performance analysis was realized by Monte-Carlo simulations, having considered the ideal case of independent and identically distributed (IID) samples of K-distributed clutter, and nonfluctuating and Swerling II target models. The results are shown in curves...
The application of importance sampling to train neural networks which approximates the Neyman-Pearson detector is considered in this paper. A comparative study with two different error functions is carried out. These two error functions are selected to make the Neyman-Pearson detector approximation possible. The importance sampling technique is used to estimate the error function for training. Some...
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