Reduction of clutter contamination in radar cross section measurements using independent components analysis

Residual clutter contamination can limit the accuracy of low-level target scattering measurements. The idea of separating the desired target measurement from the clutter, on the assumption that the target and clutter have different statistical properties over the observed data, is considered. Specifically, the independent component analysis (ICA) technique is applied to the measurement problem. The ICA approach does have limitations due to underlying model assumptions and solution ambiguities that must be considered in the measurement context. However, simulations suggest that the technique can potentially improve measurements in certain challenging scenarios.