水中目标回波亮点统计特征研究

礁石和海洋动物引起的混响是主动声纳最严重的干扰, 如何区分礁石、鱼群和水中目标一直是制约主动声纳识别技术的难点问题. 针对礁石与目标回波难以区分的问题, 从特征识别的应用角度, 研究水中复杂目标全方位回波亮点特征的有效表征和应用方式, 基于目标回波亮点模型, 提出拷贝相关器输出的目标散射函数估计方法, 给出对目标回波亮点相对关系进行定量分析的目标回波特征统计表征方式, 并基于湖上实验提取了物理机理明确的目标回波亮点统计特征, 使得目标时间-角度谱中所蕴含的目标特征信息能够很直接地转化为主动声纳易于应用的目标特征. 关键词： 水中目标 回波亮点 统计特征

Statistical feature of underwater target echo highlight

Clutter caused by reel and ocean animals is the primarily interference for active sonar. How to classify and identify underwater vehicle echo between reel and ocean animal echo is the most confusing problem that affects the performance of active sonar. Characterization and application mode of underwater target omnibearing echo characteristic are studied for the application of active sonar target identification. A method of estimating the acoustic scattering function based on highlight model is presented, through which underwater target acoustic echo characteristics could be well characterized by statistical feature, and the method is more suitable for the application in active sonar classification. Based on the method studied in this paper, statistical feature of echo highlight is extracted from lake acoustic scattering test of scalled benchmark submarine model.
Keywords： underwater target echo highlight statistical characteristics