水下移动传感器网络高能效节点定位和目标跟踪

陈华炎; 刘妹琴; 张森林

doi:10.1631/FITEE.1700598

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水下移动传感器网络高能效节点定位和目标跟踪

海洋信息技术专辑 | Updated：2022-05-19

- 水下移动传感器网络高能效节点定位和目标跟踪
- Energy-efficient localization and target tracking via underwater mobile sensor networks
- 信息与电子工程前沿（英文） 2018年19卷第8期页码：999-1012
- Affiliations：
  
  State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
  College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
- Author bio：
  
  [ "Hua-yan CHEN, E-mail:chenhuayan@zju.edu.cn" ]
  Mei-qin LIU, E-mail:liumeiqin@zju.edu.cn
  [ "Sen-lin ZHANG, E-mail:slzhang@zju.edu.cn" ]
- Funds：
  
  Project supported by the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization (No. U1609204), the National Natural Science Foundation of China (Nos. 61531015 and 61673345), and the Key Research and Development Program of Zhejiang Province, China (No. 2018C03030)
- DOI：10.1631/FITEE.1700598
  中图分类号： TP274
- 收稿：2017-09-11，
  
  修回：2018-;8-15，
  
  纸质出版：2018-08
- Accepted：
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陈华炎, 刘妹琴, 张森林. 水下移动传感器网络高能效节点定位和目标跟踪[J]. 信息与电子工程前沿（英文）, 2018,19(8):999-1012.

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG. Energy-efficient localization and target tracking via underwater mobile sensor networks[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(8): 999-1012.
陈华炎, 刘妹琴, 张森林. 水下移动传感器网络高能效节点定位和目标跟踪[J]. 信息与电子工程前沿（英文）, 2018,19(8):999-1012. DOI： 10.1631/FITEE.1700598.

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG. Energy-efficient localization and target tracking via underwater mobile sensor networks[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(8): 999-1012. DOI： 10.1631/FITEE.1700598.

摘要

水下移动传感器网络（UMSNs）不需要固定，易实现快速部署，其节点可随洋流飘动扩散，易实现大范围监测。因此，UMSNs是远海环境下实现短期、迅速、大范围组网监测跟踪的有效手段。UMSNs目标跟踪的挑战在于高精度的目标跟踪效果需要以高精度的实时节点定位为前提，而UMSNs的节点位置是不断变化的。为获得高精度的实时节点定位结果，运用传统定位方案对其连续定位会消耗大量能量。为减少UMSNs目标跟踪过程中节点定位所消耗的能量，利用节点移动在时间空间的相关性，结合多步Levinson-Durbin线性预测算法，提出高精度的长周期节点位置预测算法（HLMP）。通过高精度位置预测减少节点对实时通信定位的依赖，进而减少网络能耗。根据目标跟踪过程中节点与目标的相关性，提出同时定位跟踪算法（SLAT），进一步提高节点定位精度。仿真结果表明，HLMP算法能够在低能耗情况下显著提高定位精度，SLAT算法进一步降低节点定位误差。更高定位精度将同步提高目标跟踪性能。

Abstract

Underwater mobile sensor networks (UMSNs) with free-floating sensors are more suitable for understanding the immense underwater environment. Target tracking

whose performance depends on sensor localization accuracy

is one of the broad applications of UMSNs. However

in UMSNs

sensors move with environmental forces

so their positions change continuously

which poses a challenge on the accuracy of sensor localization and target tracking. We propose a high-accuracy localization with mobility prediction (HLMP) algorithm to acquire relatively accurate sensor location estimates. The HLMP algorithm exploits sensor mobility characteristics and the multistep Levinson-Durbin algorithm to predict future positions. Furthermore

we present a simultaneous localization and target tracking (SLAT) algorithm to update sensor locations based on measurements during the process of target tracking. Simulation results demonstrate that the HLMP algorithm can improve localization accuracy significantly with low energy consumption and that the SLAT algorithm can further decrease the sensor localization error. In addition

results prove that a better localization accuracy will synchronously improve the target tracking performance.

关键词

Keywords

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