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- W2516366199 abstract "由于 multipath 效果,浅水里的来源本地化是活跃兴趣的一个区域。然而,为浅水里的来源本地化的大多数方法对假定模型敏感在水下环境并且有差的坚韧性对在水下隧道无常,哪个限制他们在实际工程的进一步的申请。在这份报纸,基于向量优化概念,浅水里的来源本地化的一个新方法被描述,它对影响本地化的环境因素是高度柔韧的,例如隧道深度,底部思考系数等等。通过构造来源向量错误的无常集合并且从海表面和底部提取多路径声音光线,建议方法能精确地在 multipath 繁殖统治的浅水里本地化至少一来源。结果,我们的途径的自然明确的表达包含易于的二二次的功能的最小化无穷地许多 nonconvex 二次的限制。它显示出那这个问题(原来难处理) 能作为所谓的秒顺序锥程序(SOCP ) 是在一种凸的形式的 reformulated 并且由使用生长得很好的内部点方法高效地解决例如软件工具, SeDuMi。计算机模拟作为与存在算法相比显示出建议方法的更好的性能并且为实际工程应用程序建立一个理论基础。" @default.
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- W2516366199 date "2013-01-01" @default.
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- W2516366199 title "Robust Source Localization in Shallow Water Based on Vector Optimization" @default.
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