This paper combines testing method with SEA to predict self-noise in sonar platform area.
本文采用试验和SEA相结合的方法来预报其平台区自噪声。
Then the simulation of underwater sonar imaging detection is realized. This study provides an economic, practical and precise research platform for underwater sonar imaging detection.
从而实现了水下成像声呐探测系统的模拟，为水下声呐成像探测技术的研究提供了一个经济实用、高准确度的研究平台。
The subsystems' mode density is calculated by empirical formulas. Finally, SEA is adopted to predict self-noise in sonar platform area and satisfying results are obtained.
采用经验公式计算各子系统模态密度，最后利用统计能量法来预报潜艇首部声呐平台区自噪声，得到了令人满意的结果。
This method can be put into practice easily. The analysis result is of guidance value to acoustic structural design of sonar platform area, choice and collocation of acoustic viscoelastics layer.
本方法比较实用，分析结果对平台区结构声学设计、声学材料选型和布置形式具有指导作用。
This method can be put into practice easily. The analysis result is of guidance value to acoustic structural design of sonar platform area, choice and collocation of acoustic viscoelastics layer.
本方法比较实用，分析结果对平台区结构声学设计、声学材料选型和布置形式具有指导作用。
应用推荐