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时间反转算子特征值分解算法 被引量:4

Eigenvalue decomposition algorithm for time reversal operators
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摘要 由于多途散射的影响,在复杂的水声信道中对多目标进行选择性检测效果不佳.在分析时间反转聚焦理论的基础上,提出时间反转算子特征值分解算法.对于可分辨的理想散射目标,该算法将时间反转算子特征值分解,每个非零特征值对应的特征向量为换能器阵列提供相应目标的聚焦相位信息,滤掉其他目标的波形,更好的定位目标.理论分析和仿真实验证明了所提算法对水下目标具有更好的选择性聚焦和检测效果,这为时间反转镜区分多目标提供了理论依据. When a time reversal mirror is used to selectively detect multiple targets underwater, multi-pathing in the medium degrades data quality. Based on the time-reversal focusing method, an eigenvalue decomposition algorithm for the time reversal operator is proposed. The time reversal operator can be decomposed to ideally resolve a scattered target that can be distinguished. Each of its eigenvectors, of non-zero eigenvalue, provide the focusing phase law of the corresponding target for transducer arrays, filtering out the waves of other targets and better locating the target. Theoretical analysis and computer simulations show that the proposed algorithm provides selective focusing and detection and establishes a theoretical foundation for distinguishing multiple targets by a time reversal mirror.
出处 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2008年第12期1340-1343,共4页 Journal of Harbin Engineering University
关键词 时间反转镜 时间反转算子 特征值分解 选择性聚焦 time reversal mirror time reversal operator eigenvalue decomposition selecting focusing
作者简介 夏云龙(1973-),男,博士研究生,E-mail:xyl7566@126.com 付永庆(1956-),男,教授,博士生导师.
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参考文献9

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二级参考文献3

共引文献54

同被引文献42

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