New Aspects to Knowledge-Aided Clutter Analysis

Abstract

Digital signal processing allows improvements in site-specific clutter prediction. With digital terrain maps and a flight obstacle register, land clutter origin can be solved. An efficient, knowledge-aided approach to extracting homogeneous clutter from radar signal is presented. Once homogeneous clutter's statistic has been recognized, also mixture models can be constructed. The suggested aspects are illustrated through an air surveillance radar simulation. The enhancement attained in clutter analysis and thus in clutter models is the novelty of the presented aspects.

Design and application of dynamic environmental knowledge base

“…It appeals for two primary reasons: one is that partial knowledge in the SEKB is obtained just by statistical or empirical data; the other is that radar environment is non‐stationary and variational due to a number of factors, such as changes in the weather and new buildings. A potential solution to solve this problem is to update the knowledge base dynamically [11, 12]. Hence, we design an architecture to update the knowledge base in real time in the second stage, where data sources mainly consider radar and other cooperative sensors [13].…”