基于动态规划算法的无源毫米波弱小目标检测方法

Detection of Weak PMMW Targets Based on Dynamic Programming Algorithm

针对无源毫米波弱小目标特点,结合已有的动态规划算法,利用图像阈值分割原理实时计算检测门限,提出一种适用于无源毫米波小目标检测的实用动态规划算法,并分析了动态规划的计算过程及分割门限的确定方法。实验仿真结果表明,此算法能准确检测出复杂背景下的低信噪比无源毫米波弱小目标,并得到目标运动轨迹,在单帧成像信噪比为4.5dB左右时,能准确检测出目标运动轨迹。

According to the weak target characteristics of PMMW （passive millimeter wave）, a dynamic programming algorithm for detecting weak PMMW targets is presented based on the existing methods. Using the principle of image threshold segmentation, the detection threshold can be calculated in time. The process of dynamic programming algorithm and the decision of detecting threshold are analyzed. Simulation results show that this method can detect weak PMMW targets with low SNR under the complicated back- ground, and the target＇ s moving track can be achieved at the same time. The target＇ s moving track can be detected accurately when the SNR of single PMMW image is about 4.5 dB.