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空时自适应杂波分类抑制与弱小运动目标检测

Keywords: 空时杂波抑制空时联合检测弱小运动目标自适应LS滤波

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Abstract:

提出了一种新的方法应用于一类重要的高维信号检测问题:在强杂波干扰下检测数字图像序列中位置和速度未知的弱小运动目标.通过对输入序列时域灰度矩进行学习,将像素分成两类——静杂波和动杂波,分别对其采用非参数时域滤波和LS自适应滤波进行去除,从而将原始数据转化为准SPGWN模型.杂波抑制后,根据单帧多像素目标模型假设,采用在空、时域联合集成信号能量的检测算法,能有效地改善信噪比并且有利于实时实现,理论分析和对真实数据的大量仿真试验验证了本方法的有效性。

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