Advanced Iterative Multi-Frequency Algorithm Used by Radar Remote-Sensing Systems for Oil-Spill Thickness Estimation

In this paper we will devise an advanced and com-plex multi-frequency algorithm that targets oil-spill thickness es-timation based on the reflectivity values. The presented algorithm uses optimized pre-defined 2-D constellation sets by utilizing the best pair of frequencies for each possible thickness value. Then it processes sequentially the separate estimations done by a Maximum Likelihood dual-frequency estimator in order to optimize the estimation procedure. This advanced iterative multi-frequency algorithm is test numerically using Monte Carlo simulations, where it shows very high accuracy. It is also validated with experimental data showing an accuracy of 75.63% to the exact millimeter, and a 99.46% accuracy to the
$\pm \boldsymbol{1} \text{mm}$
.