基于时频形态学滤波的能量积累检测
doi: 10.3724/SP.J.1146.2005.01381
Energy Integration Detection via Time-Frequency Distribution and Morphological Filtering
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摘要: 许多实际应用中，强噪声背景下信号能量的长时间积累是有效检测的关键。该文利用信号在时频平面上的能量聚集特性，提出基于时频域形态学滤波的能量积累检测方法。首先确定时频分布的最优核，计算观测序列的时频分布；然后用阈值处理和形态学滤波估计时频分布的高能量支撑区域；最后累加这些区域的时频能量作为统计量进行检测。仿真结果表明，这种方法在低信噪比下可以有效工作。Abstract: Long duration integration of the interesting signal energy is a key to develop an effective detector under severe noise background in many applications. With the time-frequency concentration characteristic of the interesting signal, a new energy integration detect method is proposed in this paper based on the morphological filtering in the time-frequency plane. Firstly, the optimal kernel of the Cohens Time-Frequency Distribution (TFD) is designed and the TFD of the observation is calculated. Thereafter, the support region of strong energy is estimated by thresholding the TFD and morphological filtering the obtained binary image. Finally, the energy on the estimated region is integrated to judge whether a signal is present or not. Simulation results show that the proposed method is effective in low ratios of signal to noise case.
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