首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于最差性能优化的运动声源稳健聚焦定位识别方法研究
引用本文:时洁,杨德森,时胜国.基于最差性能优化的运动声源稳健聚焦定位识别方法研究[J].物理学报,2011,60(6):64301-064301.
作者姓名:时洁  杨德森  时胜国
作者单位:哈尔滨工程大学水声技术重点实验室, 哈尔滨 150001
基金项目:国防基础科学研究计划(批准号:B0820060400)和国防预研究基金(批准号:51310080202)资助的课题.
摘    要:基于被动合成孔径原理,提出了一种具有高稳健性的运动声源高分辨聚焦定位识别方法.该方法采用综合优化手段,通过矢量最大似然聚焦定位算法生成虚拟阵列坐标及数据矩阵,进而利用基于最差性能优化的稀疏虚拟阵列聚焦算法,获取稳健的高分辨定位识别效果.理论及仿真研究表明,该方法对于非匀速运动以及与基阵存在运动倾角的复杂情况具有较强的适用性,聚焦空间谱表现出更大的动态范围、更为尖锐的聚焦峰尺度以及更强的背景噪声起伏压制能力.湖上试验进一步验证,在高分辨最小方差信号无畸变响应法(MVDR)聚焦算法动态范围仅为3.5 dB的相 关键词: 稳健性 运动噪声源定位识别 矢量阵 最差性能优化

关 键 词:稳健性  运动噪声源定位识别  矢量阵  最差性能优化
收稿时间:2010-10-10

Robust localization and identification method of moving sound sources based on worst-case performance optimization
Shi Jie,Yang De-Sen,Shi Sheng-Guo.Robust localization and identification method of moving sound sources based on worst-case performance optimization[J].Acta Physica Sinica,2011,60(6):64301-064301.
Authors:Shi Jie  Yang De-Sen  Shi Sheng-Guo
Institution:Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China;Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China;Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin 150001, China
Abstract:Based on the passive synthetic aperture principle, a new robust high-resolution focused array signal processing method of moving sound source localization and identification is proposed in this paper. By means of the integrated optimization, this method generates the coordinates of a virtual array and the data matrix through the vector maximum likelihood focused algorithm, then utilizes the sparse virtual array focused algorithm based on the worst-case performance optimization to obtain the robust high-resolution localization and recognition effects. The theory and the simulation analysis show that this method is applicable to the complex experimental situations such as non-uniform motion and tipsy array, and the focused spatial spectrum indicates the greater dynamic range, the sharper focused peak, and the stronger ability to suppress the fluctuations of the background noise. The higher robustness and better results of this proposed method are verified in the lake experiment. Under the same experimental condition, the dynamic range of high-resolution MVDR focused algorithm is only 3.5dB, however, it can reach 50 dB by the proposed method.
Keywords:robustness  localization and identification of the moving noise sound source  vector sensor array  worst-case performance optimization
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《物理学报》浏览原始摘要信息
点击此处可从《物理学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号