The effect of clutter on the automatic target classification accuracy in FSR

Abstract

The clutter influence on the automatic target classification (ATC) accuracy in forward scattering radar (FSR) is presented. To study the ATC at various signal-to-clutter ratios (SCR), a simulated vegetation clutter is artificially added to the real clutter-free targets recorded signals. It is shown that using conventional clutter-uncompensated ATC system can achieve high target classification accuracy at high SCR only, but the accuracy drops significantly with SCR decreasing. The employment of clutter-compensated ATC system is shown to improve significantly the classification accuracy at low SCR.