计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 211000165-6.doi: 10.11896/jsjkx.211000165

• 计算机网络 • 上一篇    下一篇

传感器唤醒机制下的智能干扰源定位方法

杨思星1,2, 李宁1, 郭艳1, 杨延宇2   

  1. 1 陆军工程大学通信工程学院 南京 210000
    2 94701部队 安徽 安庆 246000
  • 出版日期:2022-11-10 发布日期:2022-11-21
  • 通讯作者: 李宁(lining_friend@sina.com)
  • 作者简介:(yangsixing01@sina.com)
  • 基金资助:
    国家自然科学基金(61871400);江苏省自然科学基金(BK20211227)

Intelligent Jammers Localization Scheme Under Sensor Sleep-Wakeup Mechanism

YANG Si-xing1,2, LI Ning1, GUO Yan1, YANG Yan-yu2   

  1. 1 Institute of Communication Engineering,Army Engineering University of PLA,Nanjing 210000,China
    2 The PLA Unit 94701,Anqing,Anhui 246000,China
  • Online:2022-11-10 Published:2022-11-21
  • About author:YANG Si-xing,born in 1992,Ph.D.Her main research interests include Internet of things,wireless networks,and device-free target localization.
    LI Ning,born in 1965,master,associate professor.His main research interests include Ad hoc networks,digital beamforming and machine learning.
  • Supported by:
    National Natural Science Foundation of China(61871400)and Natural Science Foundation of Jiangsu Province,China(BK20211227).

摘要: 随着人工智能技术的发展,智能干扰源可通过改变自身发射功率来提高干扰效果,导致传统基于接收信号强度的定位技术失效。为此,引入传感器唤醒机制,研究基于块压缩感知的多干扰源定位方法。首先,周期性地唤醒传感器节点,同时提高传感器节点利用有效性和定位信息采集精确性;其次,考虑到在干扰源发射功率未知且变化的情况下无法确定距离与接收信号强度之间的关系,引入参考功率对智能变化的干扰源功率进行处理;然后,基于压缩感知理论,将定位问题建模为块稀疏向量重构问题;最后,通过探索功率变化规律设计出一种基于变分贝叶斯均值-期望的Wake-VBEM重构算法,精确重构目标位置向量。仿真证明,所提方法在干扰源功率未知且变化时,可同时实现多干扰源位置估计并有效提高网络使用寿命。

关键词: 干扰源定位, 无线传感器网络, 传感器唤醒, 块压缩感知, 变分贝叶斯均值-期望

Abstract: Intelligent jammer can change its transmitting power to improve the jamming effect adaptively with the developing artificial intelligence(AI) technique,making the traditional localization scheme out of work.Therefore,this paper investigates the block compressive sensing(BCS) based multi-jammer localization scheme under sensor wake-up mechanism.Firstly,the sensor nodes are periodically awakened to prolong the lifetime of the network and to collect more accurate localization information.Se-condly,this paper introduces the reference power to avoid the issue that the relationship between the distance and the varying power are unknown.Thirdly,we utilize the compressive sensing(CS) theory to build the localization issue as a BCS recovery problem.Finally,a novel Wake-VBEM algorithm under the variational Bayesian mean-expect is proposed by exploring the power variation law.Simulations show that the proposed method can simultaneously estimate the location of multi-jammers and prolong the lifetime of the network even the power of the jammer is unknown and varying.

Key words: Jammer localization, Wireless sensor networks, Sensor wakeup, Block compressive sensing, Variational Bayesian meanexpect

中图分类号: 

  • TN919
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