基于矢量传感器的低空目标声测向算法及实验研究
Direction estimation for low altitude targets using an acoustic vector-sensor and its experimental investigations
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摘要: 将基于二维压差式矢量传感器的声压振速联合处理技术应用于低空目标无源测向的研究中,提出了一种新的无源声测向算法,该方法在小尺寸和低频条件下实现了对低空目标的精确测向。采用实测直升机辐射的噪声信号对算法进行了分析,研究了传感器尺寸、积分时间和信噪比对算法性能的影响。结果表明,矢量传感器尺寸为0.2 m,信噪比为0 dB时,测向误差小于2°,优于基于时延估计测向的方法。该研究为小基阵高精度的低空目标无源声测向提供了一种实现方法。Abstract: The pressure and particle velocity combined processing technology based on an acoustic vector-sensor is applied to the passive direction estimation for low altitude targets. The procedure of the proposed approach is given, followed by the experimental investigations with the noise data radiated by a helicopter. The influence of the size of vector-sensor, time of integration and SNR (Signal-to-Noise Ratio) on the accuracy of direction estimation is analyzed, respectively. It is shown that the direction estimation error of lower than 2 degrees can be achieved, with the vector-sensor size 0.2 m and SNR 0 dB. This research provides a, feasible approach for accurately passive acoustic detection for low altitude targets with a smaller array.