A joint time synchronization and localization method without known clock parameters

被引:10
作者
Wu, Xiaoping [1 ]
Gu, Zhihua [1 ]
机构
[1] Zhejiang A&F Univ, Sch Informat Engn, Hangzhou 311300, Zhejiang, Peoples R China
关键词
Wireless sensor networks; Time synchronization; Localization; Convex optimization; Semidefinite programming; WIRELESS SENSOR NETWORKS; CLOSED-FORM; SELF-LOCALIZATION; ALGORITHM; NODES;
D O I
10.1016/j.pmcj.2016.09.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Time synchronization and localization should be jointly conducted for time-related localization model when the local clock of sensor node has clock drift with respect to the real clock for imperfect hardware. A joint estimation method for the source locations and clock parameters is proposed by using the time difference of arrival (TDOA) measurements. The proposed joint estimation method does not rely on the clock parameters of anchor nodes. To estimate the clock parameters and source locations, the noncooperative linear estimators including unconstrained weighting least square (UWLS) and constrained weighting least square (CWLS) are put forward. The noncooperative and cooperative semidefinite programming (SDP) algorithms are also designed by relaxing the optimization function of maximum likelihood (ML) estimator as convex form. The proposed UWLS, CWLS and SDP algorithms provide the joint estimates for the source locations and clock parameters and avoid the shortcoming of ML estimator which requires an initial solution. The simulations show that the cooperative approaches provide better accuracy performance compared with the noncooperative approaches including the linear UWLS and CWLS estimators since more measurements are involved into the model. The cooperative SDP algorithm provides more robust estimates for the clock parameters and source locations especially when the source node is outside of the convex hull of the anchor nodes. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:154 / 170
页数:17
相关论文
共 45 条
  • [1] Joint Node Localization and Time-Varying Clock Synchronization in Wireless Sensor Networks
    Ahmad, Aitzaz
    Serpedin, Erchin
    Nounou, Hazem
    Nounou, Mohamed
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2013, 12 (10) : 5322 - 5333
  • [2] [Anonymous], 2004, Proceedings of International Conference on Embedded Networked Sensor Systems (Sensys), DOI DOI 10.1145/1031495.1031501
  • [3] [Anonymous], 2003, Proceedings of the 1st International Conference on Embedded Networks Sensor Systems (SenSys'03), DOI DOI 10.1145/958491.958508
  • [4] Arora S, 2009, COMPUTATIONAL COMPLEXITY: A MODERN APPROACH, P1, DOI 10.1017/CBO9780511804090
  • [5] Biswas P, 2006, ACM T SENSOR NETWORK, V2
  • [6] Accurate Distributed Range-Based Positioning Algorithm for Wireless Sensor Networks
    Chan, Frankie K. W.
    So, H. C.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (10) : 4100 - 4105
  • [7] A constrained least squares approach to mobile positioning: Algorithms and optimality
    Cheung, K. W.
    So, H. C.
    Ma, W. -K.
    Chan, Y. T.
    [J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2006, 2006 (1)
  • [8] Reduced-Bias ML-Based Estimators with Low Complexity for Self-Calibrating RSS Ranging
    Coluccia, Angelo
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2013, 12 (03) : 1220 - 1230
  • [9] Fine-grained network time synchronization using reference broadcasts
    Elson, J
    Girod, L
    Estrin, D
    [J]. USENIX ASSOCIATION PROCEEDINGS OF THE FIFTH SYMPOSIUM ON OPERATING SYSTEMS DESIGN AND IMPLEMENTATION, 2002, : 147 - 163
  • [10] A linear closed-form algorithm for source localization from time-differences of arrival
    Gillette, Matthew D.
    Silverman, Harvey F.
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2008, 15 : 1 - 4