水下认知网络中的哺乳动物定位测速算法

计算机应用 ›› 2014, Vol. 34 ›› Issue (12): 3400-3404.

水下认知网络中的哺乳动物定位测速算法

姚贵丹,金志刚,苏毅珊

天津大学电子信息工程学院,天津 300072

收稿日期:2014-06-17 修回日期:2014-08-04 出版日期:2014-12-01 发布日期:2014-12-31
通讯作者: 姚贵丹
作者简介:姚贵丹(1990-),女,江苏连云港人,硕士研究生,主要研究方向:水下传感器网络定位算法、网络协议设计；金志刚(1972-),男,上海人,教授,博士生导师,博士,主要研究方向:无线网络、网络安全；苏毅珊(1985-),男,广西南宁人,博士,主要研究方向:水下传感器网络、传感器网络协议设计与性能评价。
基金资助:
国家自然科学基金资助项目;青海省科技计划项目;海南省应用技术研究与开发专项

Localization and speed measurement algorithm targeting marine mammals for underwater cognitive acoustic networks

YAO Guidan¹,JIN Zhigang²,SHU Yishan¹

1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
2. School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China;

Received:2014-06-17 Revised:2014-08-04 Online:2014-12-01 Published:2014-12-31
Contact: YAO Guidan

摘要/Abstract

摘要：

针对水下认知声学网络(UCAN）中的环境感知问题,提出一种针对海洋哺乳动物的被动定位(PLM)算法及相应的基于多普勒效应的测速算法SMD。PLM算法基于海洋哺乳动物发声信号声源级范围,结合接收信号强度,运用检索筛选的方法推算发声位置。SMD在PLM定位的基础上,利用接收生物信号的多普勒效应对其运动测速。实验结果表明,PLM与SMD均能达到较高的精度,其中PLM算法的平均定位误差随海豚游速的增加而增加,其平均值约为10m,定位成功率可达到90%。PLM和SMD结合,可较准确地估计海洋哺乳动物的运动区域。

Abstract:

In view of the problem of environmental sensing in Underwater Cognitive Acoustic Networks (UCAN), a Passive Localization algorithm targeting Marine Mammals (PLM) and Speed Measurement algorithm based on Doppler effect (SMD) were proposed. PLM uses the method of retrieval and screening with received signal power to localize marine mammals based on the source level range of their signals. SMD calculates speed using Doppler effect of the received signals on the basis of PLM localization. The experimental results show that PLM and SMD can achieve high accuracy. The average error of PLM increases with the increase of dolpines speed, and its mean value is about 10m. Success rate of localization using PLM can be 90%. The combination of PLM and SMD can help to estimate the movement area of marine mammals accurately.

中图分类号:

姚贵丹金志刚苏毅珊. 水下认知网络中的哺乳动物定位测速算法[J]. 计算机应用, 2014, 34(12): 3400-3404.

YAO Guidan JIN Zhigang SHU Yishan. Localization and speed measurement algorithm targeting marine mammals for underwater cognitive acoustic networks[J]. Journal of Computer Applications, 2014, 34(12): 3400-3404.

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