声场简正波分解算法及其适应性
Algorithm of mode decomposition of sound field and its adaptability
-
摘要: 采用海洋声学数据库(OALIB)提供的多种模拟测试数据和新西兰Hudson海峡实验数据,全面地考察了声场简正波分解迭代算法的能力,包括抗白色噪声和有色噪声的能力、环境参数失配时的宽容度以及能否检测和跟踪实际声源目标。同时,针对该算法的特点,在低信噪比条件下,讨论不同阵型的短垂直阵和稀阵元垂直阵的定位性能。值得庆幸的是,算法顺利地经受了考验。Abstract: With the synthetic test data and the Hudson Canyou experiment provided by the Ocean Acoustics Library (OALIB), algorithm of mode decomposition of sound field me systematically examined in this paper, concerning (1) the effect of white noise and colored noise; (2) the tolerance of realistic environmental uncertainty and error; (3) the ability for detecting and tracking the underwater sound source. At the sometime, the localization performances of the different type of the short and sparse vertical array were discussed at lower SNR. Fortunately, this algorithm was passed successfully.