A novel algorithm for improved detection and discrimination of over resolved targets

Abstract

A technique is proposed to achieve significantly better detection, discrimination, and automatic identification (id) for stationary or slow-moving range-Doppler over-resolved targets on or in close proximity to the ground (or sea surface). This technique is based upon a generalized inner product (GIP) approach to data analysis. This robust detector/discriminator separates radar returns from interference including ground clutter via a coherent process for separating target returns from the myriad of received signals. Through the use of coherent target templates artificial intelligence techniques will be developed to automatically id targets without human intervention.