论文部分内容阅读
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.
Various types of errors of the acoustic vector hydrophone array are classified, and the influence factors of the various types of errors on the array signal model are deduced. The influences of various errors on the array DOA estimation performance are analyzed by Monte Carlo experiments, and then the directional The error and position error can be attributed to the amplitude error and the phase error. Based on the error correction model and algorithm of the traditional sound pressure array, the optimal model and the self-correction algorithm of the vector array error self-correction are obtained. Finally, through the simulation experiment and field experiment data Processing shows that the self-tuning algorithm has a good parameter estimation performance, with a certain degree of engineering practicability.