基于传播模型的目标定位和辨识

Target location and identification based on propagation model

为了解决匹配场处理中存在的失配问题,提出了一种用于目标定位的模基处理算法.根据接收阵的声压场数据和实测的声速梯度数据,结合扩展的卡尔曼滤波器算法,利用传播模型实现对目标的定位和辨识.利用该方法,基于平面波模型,可以测向并输出目标的方位;基于简正波模型,可以辨识模函数和水平波数,并能抑制噪声,实现信号的增强.实验数据和模拟数据吻合较好,表明该算法具有较好的自适应性及对失配的宽容性.

To solve the mismatch problem in match-field processing, a model-based processing algorithm for target location was proposed. Relying on the pressure field at the receiver array and the sound velocity profile, a combination of extended Kalman filter algorithm and propagation models was applied to perform target location and identification. By this approach, the target's bearing can be obtained using plane wave model; and the signal is enhanced with noise suppression based on normal wave model, while modal functions and horizontal wave numbers can be identified. A good fit between simulation results and experimental data shows that the algorithm has good adaptive ability and robustness against mismatch.