装甲目标毫米波被动探测信号熵特征提取及仿真分析

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

根据装甲目标毫米波被动探测信号的不规则波动性,提出以熵为特征的装甲目标的识别方法。以实测数据为基础,论证了方法的有效性。对仿真获得的装甲目标、干沙、钢板、积水的天线温度曲线分别提取了熵特征,分析了彼此间熵的直方图及平均值。结果表明,以熵为特征可以对地面背景及典型"干扰物"中的装甲目标进行有效识别,具有切实可行的工程借鉴意义。

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.