基于Gabor-Hough变换二值积累的空中声源过顶检测研究

Overhead Detection of Acoustic Source in Air Based on Binary Integration of Gabor-Hough Transform

从航空声源水下声场建模出发,提出了对运动声源过顶信号检测的Gabor-Hough变换二值积累检测算法.声源激发的水下过顶信号在短时间内可以用线性调频信号提供良好的近似,采用Gabor-Hough变换将过顶信号的检测转化为参数空间中的局部峰值检测,而Gabor-Hough变换对强分量杂波掩盖下的弱分量检测能力有限,针对空中声源辐射噪声能量差别较大的特点,提出了二值积累方法检测声源激发的水下信号,仿真实验结果验证了该算法的有效性.

From modeling underwater acoustic field of aeronautical acoustic source, we proposea a binary integration algorithm of Gabor-Hough transform to detect underwater acoustic signal excited by aircraft. Overhead underwater noise can be viewed as chirp signal in a short time. Gabor-Hough transform was used to find local peak in parameter space to detect aircraft. Because of limited ability of Gabor-Hough transform to detect the weak components covered by strong clutter, aiming at the different energy characteristics of radiated noise, the binary integration detection algorithm was proposed. Simulation results show the validity of the algorithm.