A Decentralized Positioning Scheme Based on Recursive Weighted Least Squares Optimization for Wireless Sensor Networks

被引：4
|
作者：
Wang, Chin-Liang [1 ,2 ]
Wu, Dong-Shing [2 ]
Chen, Shih-Cheng [2 ]
Yang, Kai-Jie [2 ]
机构：
[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 30013, Taiwan
[2] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu 30013, Taiwan
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2015年 / 64卷 / 10期
关键词：
Decentralized methods; recursive weighted least squares (RWLS) optimization; target positioning; wireless sensor networks; RELATIVE LOCATION ESTIMATION; SOURCE LOCALIZATION; PROJECTION;
D O I：
10.1109/TVT.2014.2369816
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new positioning scheme based on recursive weighted least squares (RWLS) optimization for wireless sensor networks. The proposed scheme is derived from minimizing a recursive-in-time cost function and then realized in an iterative decentralized manner. The target location is computed iteratively by taking a weighted average of the local estimates according to the reliability information, where a sensor computes a new estimate based on its own observation and the previous sensor's estimate. Computer simulation results demonstrate that the proposed scheme has better positioning accuracy than previous related methods.
引用
收藏
页码：4887 / 4893
页数：8
相关论文
共 50 条
  • [41] Total Least-Squares Algorithm for Time of Arrival Based Wireless Sensor Networks Location
    Wang, Aihua
    Yang, Kai
    An, Jianping
    Bu, Xiangyuan
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2011, E94A (09) : 1851 - 1855
  • [42] Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
    Zhang, Ling
    Cai, Yunlong
    Li, Chunguang
    de lamare, Rodrigo C.
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2017,
  • [43] Weighted least-squares design of recursive allpass filters
    Analog Devices Inc, Wilmington, United States
    IEEE Trans Signal Process, 6 (1553-1557):
  • [44] On the Recursive Algorithm of Bias Compensated Weighted Least Squares Method
    Ikenoue, Masato
    Kanae, Shunshoku
    Wada, Kiyoshi
    2019 58TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2019, : 522 - 527
  • [45] Weighted Least Squares Estimator of Range Based on DMT VLC for Indoor Positioning
    Zheng, Zhong
    Liu, Lu
    Hu, Weiwei
    2017 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP), 2017,
  • [46] Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
    Ling Zhang
    Yunlong Cai
    Chunguang Li
    Rodrigo C. de Lamare
    EURASIP Journal on Advances in Signal Processing, 2017
  • [47] Generalized adaptive weighted recursive least squares dictionary learning
    Naderahmadian, Yashar
    Tinati, Mohammad Ali
    Beheshti, Soosan
    SIGNAL PROCESSING, 2016, 118 : 89 - 96
  • [48] Recursive weighted robust least squares filter for frequency estimation
    Ra, Won-Sang
    Whang, Ick-Ho
    2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 4472 - +
  • [49] A Class of Weighted Quantized Kernel Recursive Least Squares Algorithms
    Wang, Shiyuan
    Wang, Wanli
    Duan, Shukai
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2017, 64 (06) : 730 - 734
  • [50] Fire Positioning Based On Wireless Sensor Networks
    Li, Bo
    Wu, Qisheng
    Zhang, Lei
    Cao, WenBo
    ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 888 - 892
12345