Signal entropy feature extraction and simulation analysis of the armored target with passive millimeter wave

Abstract

According to the irregular fluctuation of the armored target's detection signal with passive millimeter wave,an armored target's recognition method which the feature is entropy was proposed.Based on the measured data,the validity of this method was demonstrated.Through simulation,the antenna temperature curve of armored target,dry sand,steel and water was obtained respectively.Then,the entropy feature of each one was extracted.The histogram and the average value of the entropy were analyzed.The results show that when the entropy was used as the feature,the armored target from the background and typical“interferences”can be effectively recognized and practical engineering significance was obtained.

Keywords

• armored target;passive millimeter wave detection;entropy feature;target recognition