Matched Field Localization Based on CS-MUSIC Algorithm

查看全文 作　　者：GUO [1,2]Shuangle;TANG [1]Ruichun;PENG [1]Linhui;JI [1]Xiaopeng

机构地区：[1]College of Information Science and Engineering,Ocean University of China;[2]College of Information Engineering,Binzhou University

出　　处：《Journal of Ocean University of China》索引2016年第15卷第2期,共7页

基　　金：supported by the National Natural Science Foundation of China (61202208) 摘　　要：The problem caused by shortness or excessiveness of snapshots and by coherent sources in underwater acoustic positioning is considered.A matched field localization algorithm based on CS-MUSIC(Compressive Sensing Multiple Signal Classification) is proposed based on the sparse mathematical model of the underwater positioning.The signal matrix is calculated through the SVD(Singular Value Decomposition) of the observation matrix.The observation matrix in the sparse mathematical model is replaced by the signal matrix,and a new concise sparse mathematical model is obtained,which means not only the scale of the localization problem but also the noise level is reduced;then the new sparse mathematical model is solved by the CS-MUSIC algorithm which is a combination of CS(Compressive Sensing) method and MUSIC(Multiple Signal Classification) method.The algorithm proposed in this paper can overcome effectively the difficulties caused by correlated sources and shortness of snapshots,and it can also reduce the time complexity and noise level of the localization problem by using the SVD of the observation matrix when the number of snapshots is large,which will be proved in this paper. 关键词：MUSIC算法匹配场定位矩阵奇异值分解多重信号分类法数学模型水声定位 MUSIC 时间复杂度

相关文献

参考文献（16）
引证文献（2）
耦合文献（16）

参考文献(16)

引证文献(2)

耦合文献(16)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Matched Field Localization Based on CS-MUSIC Algorithm

参考文献(16)

引证文献(2)

耦合文献(16)

用户提示