【摘要】 针对有限安装空间条件下小孔径基阵方位估计性能较差的问题,本文借鉴奥米亚棕蝇听觉系统的耦合放大机制,提出了一种基于仿生物听觉耦合系统的小孔径矢量组合阵方位估计方法。该方法利用单矢量传感器接收信号与噪声的声压和各个振速的相关特性设计了矢量声强滤波器,然后对小孔径组合阵声压通道接收数据进行滤波以提高信噪比,最后将仿生学听觉耦合机制拓展至该小孔径阵列,放大相邻阵元的相位差,从而获得具有较好DOA估计性能的CBF和MVDR方法。仿真结果表明:矢量听觉耦合算法在阵孔径小于常规10倍时,均可获得较好的空间谱,有效的提高的小平台阵列算法的性能。更多还原

【Abstract】 This study aims to solve the poor performance of direction-of-arrival(DOA) estimation for small-aperture arrays in limited installation spaces. Accordingly, we propose a small-aperture vector-array azimuth estimation method based on the bionic auditory coupling system using the coupling amplification mechanism of Ormia ochracea′s(brown fly) auditory system for reference. A vector sound intensity filter is designed based on the correlation characteristics of the received signal with noise pressure and vibration velocity. Then, the received data of the sound pressure channel of small-aperture arrays are filtered to improve the signal-to-noise ratio. Finally, the bionic auditory coupling mechanism is extended to the small-aperture arrays to amplify the phase difference between adjacent elements so as to obtain conventional beam-forming and minimum variance distortionless response methods with better DOA estimation performance. The simulation results show that when the aperture of the array is less than ten times that of the conventional algorithm, the vector auditory coupling algorithm can obtain a better spatial spectrum, which can effectively improve the performance of the small platform array algorithm.更多还原