对声矢量水听器阵列的各类误差进行了分类,推导了各类误差对阵列信号模型的影响因子,通过Monte Carlo实验分析对比了各类误差对阵列DOA估计性能的影响,然后将方向性误差和位置误差归结为幅度误差和相位误差,在传统声压阵列误差校正模型和算法的基础上,得到矢量阵列误差自校正的优化模型及自校正算法,最后,通过仿真实验和外场实验的数据处理表明,自校正算法具有良好的参数估计性能,具有一定的工程实用性.
In this paper, the errors of vector hydrophone array are classified, the impact factor of each error for the array signal model is derived, and the direction of arrival(DOA) estimation performance of array on the influence of each error is compared by Monte Carlo experiments. Converting the direction error and location error to the amplitude and phase er- rors, based on the optimization model and error calibration algorithm for traditional acoustic pressure sensor array, the optimization model and error self-calibration algorithm for acous- tic vector hydrophone array are proposed. The simulation experiments and field experiment data processing show that the proposed self-calibration algorithm has good parameter esti- mation performance and certain engineering practicability.