首页> 外文期刊>International Journal of Innovative Computing Information and Control >MULTI-TARGET LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS BASED ON COMPRESSIVE SAMPLING MATCHING PURSUIT
【24h】

MULTI-TARGET LOCALIZATION IN UNDERWATER ACOUSTIC SENSOR NETWORKS BASED ON COMPRESSIVE SAMPLING MATCHING PURSUIT

机译:基于压缩采样匹配的水下声传感器网络中的多目标定位

获取原文
获取原文并翻译 | 示例
           

摘要

A novel underwater multi-target localization (UML) method based on underwater acoustic sensor networks is proposed, which solves the target localization problem combining underwater acoustic transmission theory with compressed sensing (CS) theory. The proposed UML algorithm studies the sparsity of target localization in underwater space, and sets up the sparsity localization model with the received signal strength by sensors as dictionary, which is estimated by studying the underwater acoustic transmission theory. Finally, fewer numbers of underwater sensor nodes are randomly selected to recover the target location using Compressive Sampling Matching Pursuit (CoSaMP) algorithm based on CS. The UML algorithm achieves better localization performance, and meanwhile the time consuming of compute is decreased.
机译:提出了一种基于水下声传感器网络的水下多目标定位方法,将水下声传输理论与压缩感知理论相结合,解决了目标定位问题。提出的UML算法研究了水下空间目标定位的稀疏性,并建立了以传感器接收的信号强度为字典的稀疏性定位模型,并通过研究水下声传输理论对其进行了估计。最后,使用基于CS的压缩采样匹配追踪(CoSaMP)算法,随机选择较少数量的水下传感器节点来恢复目标位置。 UML算法具有更好的定位性能,同时减少了计算时间。

著录项

  • 来源
  • 作者单位

    School of Electronic and Information Jiangsu University of Science and Technology No. 2, Mengxi Road, Zhenjiang 212003, P. R. China;

    School of Electronic and Information Jiangsu University of Science and Technology No. 2, Mengxi Road, Zhenjiang 212003, P. R. China;

    School of Electronic and Information Jiangsu University of Science and Technology No. 2, Mengxi Road, Zhenjiang 212003, P. R. China;

    School of Electronic and Information Jiangsu University of Science and Technology No. 2, Mengxi Road, Zhenjiang 212003, P. R. China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Underwater sensor networks; Target localization; Compressive sensing;

    机译:水下传感器网络;目标定位;压缩感测;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号