Time Delay Estimation of Co-Frequency Signals in TDOA Localization Based on WSN

被引:0
|
作者
Wan, Pengwu [1 ]
Li, Zan [1 ]
Hao, Benjian [1 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
关键词
blind source separation; time difference of Arrival; interference signals; wireless sensor networks; ARRIVAL;
D O I
暂无
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
The time delay estimation of the TDOA is signification in passive source localization systems, and the estimation accuracy may directly affect the source location performance. We address the problem of passive blind estimation of time delay for uncorrelated co-frequency interference source signal based on wireless sensor network (WSN). The received mixtures are modeled as unknown linear combinations of differently delayed versions of communication signal and interference signal. Two methods of Blind Source Separation (BSS) and Secondary Interference Signal Extracting (SISE) are introduced in the proposed method. The interference signals in the mixed receiving signals of all sensors are extracted effectively and the affection of the mixed communication signals can be significantly reduced. Simulations results demonstrate that the proposed method has a more accurate performance compared to some other time delay estimation methods.
引用
收藏
页码:319 / 323
页数:5
相关论文
共 50 条
  • [1] Efficient time delay estimation algorithm for single-channel co-frequency signals
    Guo, Yi-Ming
    Yang, Yong
    Zhang, Dong-Ling
    Peng, Hua
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2014, 36 (07): : 1416 - 1421
  • [2] A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals
    Zhao, Jiaqi
    Chen, Xiang
    Zhang, Xu
    Chen, Xun
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2022, 60 (12) : 3419 - 3433
  • [3] A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals
    Jiaqi Zhao
    Xiang Chen
    Xu Zhang
    Xun Chen
    Medical & Biological Engineering & Computing, 2022, 60 : 3419 - 3433
  • [4] Joint ML iterative estimation of carrier frequency, phase, channel for co-frequency signals
    Qu, Meng-Hong
    He, Xiao-Shuang
    You, Ling
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2015, 44 (03): : 339 - 343
  • [5] An identification technique for the co-frequency mixed communication signals based on cumulants
    Duan, Chaowei
    Zhan, Yafeng
    Liang, Hao
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2018,
  • [6] An identification technique for the co-frequency mixed communication signals based on cumulants
    Chaowei Duan
    Yafeng Zhan
    Hao Liang
    EURASIP Journal on Advances in Signal Processing, 2018
  • [7] Blind Separation of Co-Frequency Communications Recon Signals
    Zhang Xiaolin
    Xu Hongrui
    Lian Siyao
    2013 THIRD INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2013, : 1394 - 1398
  • [8] TDOA Based Node Localization in WSN using Neural Networks
    Singh, Prince
    Agrawal, Sunil
    2013 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT 2013), 2013, : 400 - 404
  • [9] Estimation of the Mutual Time Delay of Signals with Pseudorandom Frequency Hopping
    R. A. Ershov
    O. A. Morozov
    V. R. Fidelman
    Radiophysics and Quantum Electronics, 2015, 58 : 146 - 154
  • [10] Estimation of the Mutual Time Delay of Signals with Pseudorandom Frequency Hopping
    Ershov, R. A.
    Morozov, O. A.
    Fidelman, V. R.
    RADIOPHYSICS AND QUANTUM ELECTRONICS, 2015, 58 (02) : 146 - 154