穆为磊,曲文声,刘贵杰,邹振兴,刘鹏.搜索策略改进的波束形成定位方法研究*[J].,2017,36(4):298-304 |
搜索策略改进的波束形成定位方法研究* |
A study on beamforming location method with improved search strategy |
投稿时间:2016-12-03 修订日期:2017-06-22 |
中文摘要: |
针对传统时差方法定位精度低和波束形成方法定位效率低的问题,提出了一种基于遗传算法和波束形成算法的海洋平台损伤定位方法。通过遗传算法对待搜索区域坐标进行编码、选择、交叉、变异等操作,对波束形成算法的搜索策略进行改进,快速搜索损伤位置坐标。实验证明,与时差定位算法相比,本文方法的定位误差降低了50%;与波束形成算法相比,本文方法的运算时间减少了53%。因此,本文方法在保证定位精度的前提下,提高了算法的执行效率,对海洋平台损伤的实时监测和定位具有一定的实用价值。 |
英文摘要: |
In this paper, a method of marine platform damage positioning is proposed based on genetic algorithm and beamforming in order to solve the problems with respect to traditional time difference of arrival and beamforming methods, i.e., low precision and low computation efficiency, respectively. Through genetic algorithm, the coordinates of points in to-be-searched region are coded, selected, crossed and mutated in order to improve the search strategy of beamforming, and the damage position coordinates could be searched fast. It is proved by experiment that compared with time difference of arrival algorithm, the positioning method proposed herein has lowered error by 50%; and compared with beamforming algorithm, the new method has reduced positioning time by 53%. Therefore, the method proposed in this paper can improve execution efficiency while ensuring positioning precision, thereby being of some practical values for real-time monitoring and positioning of marine platform damage. |
DOI:10.11684/j.issn.1000-310X.2017.04.003 |
中文关键词: 声发射,波束形成,遗传算法,损伤定位 |
英文关键词: Acoustic emission Beamforming Genetic algorithm Damage location |
基金项目:国家自然科学基金项目 (61501418), 山东省自然科学基金项目 (BS2015DX004), 中央高校基本科研项目 (201513003), 青岛市博士后 人员应用研究项目 (2015-171) |
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