【作者】 王芳； 李钢虎； 张雪； 王春玮； 汪也；

【Author】 WANG Fang;LI Gang-hu;ZHANG Xue;WANG Chun-wei;WANG Ye;School of Marine Science and Technology, Northwestern Polytechnical University;Hangzhou Application Acoustics Institute;

【机构】 西北工业大学航海学院； 杭州应用声学研究所；

【摘要】 对于DOA动态跟踪问题,首先推导出声矢量传感器阵列的四元数输出矩阵,以建立观测方程。然后,将四元数模型的MUSIC谱估计式作为粒子滤波算法的观测似然函数以提高滤波质量。最后,仿真实验表明基于四元数模型的算法估计精度高于长矢量模型算法。与子空间类算法相比,粒子滤波算法的角度跟踪误差均在2°以内,且在低信噪比条件下粒子滤波算法具有精度高、稳定性好的特点。更多还原

【Abstract】 For the problem of dynamic DOA tracking, the quaternion output matrix of the acoustic vector sensor array is first deduced so that the observation equation is established. Then, The MUSIC spectral formula based on quaternion model is used as the observation likelihood function of the particle filter algorithm to improve the filtering quality. Finally, the simulation experiments show that the estimation accuracy of the algorithm based on quaternion model is higher than the algorithm based on long vector model. Compared with the subspace algorithm, the angle error of the particle filter algorithm is within 2°, and the particle filter algorithm has high estimation accuracy and stability under low signal-to-noise ratio.更多还原