Evaluating the complexity degree of electromagnetic environment utilizing morphological pattern spectrum

Abstract

In this work, a novel feature extraction technique for evaluating the complexity degree of Electromagnetic Environment (EME) is proposed by utilizing the morphological pattern spectrum (MPS) based on the mathematical morphology theory. Four types of morphological operators, mean the morphological dilate, morphological erosion, morphological open and morphological close, are utilized for computing the MPS. EME signals with four complexity degree are simulated to evaluate the effectiveness of the presented method. Experimental results have demonstrated the MPS calculated by morphological erosion operator to be very effective for discriminating the complexity degree of EME.