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。

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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。

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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。

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SONAR, a platform that we developed, combines three worlds: the physical, virtual and social.

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