Abstract: Presented is a system and method for eliminating spurious data in radar cross section (RCS) data. The system and method receives RCS data, and determines an expected number of scattering centers for an object of interest in said RCS data. The RCS data is processed to remove a plurality of frequency components in said RCS data based at least in part upon said expected number of scattering centers, and the RCS data is reconstructed without said plurality of frequency components to produce a reconstructed RCS data for the object of interest. In an embodiment, the TLS-Prony transform is used to transform the RCS data into a set of damped frequency components and coefficients, which are then constrained to the expected number of scattering centers in the known object using a TLS-Prong linear prediction order, and the order of the frequency components is varied until the order yields a least-error approximation.

Abstract: A method for determining a phase constant for a dielectric medium is provided. The method includes deploying a calibration object with a known free-space spectral response within a dielectric medium of interest, determining the spectral response of the calibration object deployed in the dielectric medium, and determining the phase constant for the dielectric medium using a relationship between the free-space spectral response of the calibration object and the spectral response of the calibration object when deployed in the dielectric medium.

Abstract: A method for determining a phase constant for a dielectric medium is provided. The method includes deploying a calibration object with a known free-space spectral response within a dielectric medium of interest, determining the spectral response of the calibration object deployed in the dielectric medium, and determining the phase constant for the dielectric medium using a relationship between the free-space spectral response of the calibration object and the spectral response of the calibration object when deployed in the dielectric medium.