There are various scenarios, whether they be commercial or defense, where privacy is important. In communications, the metrics of low probability of interception is often used to measure the signal’s ability to resist interception and decoding by unauthorized parties. Joint radar sensing and communications (RadarCom) has been of interest recently and an important requirement of RadarCom signals is its immunity to interceptions. In this context it is of interest to understand the statistics of background clutter. This paper uses machine learning (ML) approaches to classify and model clutter in presence of noise/interference. We employ 32 sub-carrier orthogonal frequency division multiplexing waveforms as a basis for clutter return collection and subsequent use as RadarCom signals. We then present the ML combination method with the best classification accuracy of 78.9%.
The radiative transfer (RT) approach is widely used for studying scattering from layered random media with
rough interfaces. Although it has been successful in several applications such as remote sensing of atmosphere
it is well known that this approach involves certain approximations. In this paper these assumptions and
approximations are reexamined and explained. To enable this a statistical approach is employed to this problem
and the governing equations for the first and second moments of the wave fields are derived. A transition is
hence made to arrive at a system of equations corresponding to that of the RT approach. It is thus found that
more conditions are implicitly involved in the RT approach than generally believed to be necessary.
The radiative transfer (RT) approach is widely used for studying scattering from layered random media with
rough interfaces. Although it has been successful in several applications it is well known that this approach
involves certain approximations. In this paper these assumptions and approximations are reexamined and explained.
To enable this a statistical approach is employed to this problem and the governing equations for the
first and second moments of the wave fields are derived. A transition is hence made to arrive at a system of
equations corresponding to that of the RT approach. It is thus found that more conditions are implicitly involved
in the RT approach than generally believed to be necessary.
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