Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Non-uniform Weighted Vibration Target Positioning Algorithm Based on Sensor Reliability

  • Yanli Chu (School of Marine Science and Technology, Northwestern Polytechnical University) ;
  • Yuyao He (School of Marine Science and Technology, Northwestern Polytechnical University) ;
  • Junfeng Chen (College of Equipment Management and Support, Engineering University of PAP) ;
  • Qiwu Wu (College of Equipment Management and Support, Engineering University of PAP)
  • Received : 2022.07.11
  • Accepted : 2022.12.27
  • Published : 2023.08.31
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Abstract

In the positioning algorithm of two-dimensional planar sensor array, the estimation error of time difference-ofarrival (TDOA) algorithm is difficult to avoid. Thus, how to achieve accurate positioning is a key problem of the positioning technology based on planar array. In this paper, a method of sensor reliability discrimination is proposed, which is the foundation for selecting positioning sensors with small error and excellent performance, simplifying algorithm, and improving positioning accuracy. Then, a positioning model is established. The estimation characteristics of the least square method are fully utilized to calculate and fuse the positioning results, and the non-uniform weighting method is used to correct the weighting factors. It effectively handles the decreased positioning accuracy due to measurement errors, and ensures that the algorithm performance is improved significantly. Finally, the characteristics of the improved algorithm are compared with those of other algorithms. The experiment data demonstrate that the algorithm is better than the standard least square method and can improve the positioning accuracy effectively, which is suitable for vibration detection with large noise interference.

Keywords

Acknowledgement

This work was supported by Natural Science Foundation of China (No. 62062061, 61402529) and the PAP's Military Scientific Research Mandatory Project (No. WJ2020A020048, WJ2021A030100).

References

  1. Y. He, Y. Chu, and S. Guo, "One-dimensional search location algorithm based on TDOA," Journal of Information Processing Systems, vol. 16, no. 3, pp. 639-647, 2020. https://doi.org/10.3745/JIPS.04.0172
  2. Y. Wang, M. Ni, and Y. Hu, "Improved localization algorithm based on planar array," Journal of Data Acquisition & Processing, vol. 2009, no. 2, pp. 198-202, 2009.
  3. F. Jiang and Z. Zhang, "An improved underwater TDOA/AOA joint localisation algorithm," IET Communications, vol. 15, no. 6, pp. 802-814, 2021. https://doi.org/10.1049/cmu2.12122
  4. A. Noroozi and M. A. Sebt, "Algebraic solution for three-dimensional TDOA/AOA localisation in multiple-input-multiple-output passive radar," IET Radar, Sonar & Navigation, vol. 12, no. 1, pp. 21-29, 2018. https://doi.org/10.1049/iet-rsn.2017.0117
  5. J. Zhang, B. Tang, and F. Qin, "Application of Chan location algorithm in 3-dimensional space location," Computer Simulation, vol. 26, no. 1, pp. 323-325, 2009.
  6. B. Friedlander, "Localization of signals in the near-field of an antenna array," IEEE Transactions on Signal Processing, vol. 67, no. 15, pp. 3885-3893, 2019. https://doi.org/10.1109/TSP.2019.2923164
  7. S. Hara, D. Anzai, T. Yabu, K. Lee, T. Derham, and R. Zemek, "A perturbation analysis on the performance of TOA and TDOA localization in mixed LOS/NLOS environments," IEEE Transactions on Communications, vol. 61, no. 2, pp. 679-689, 2013. https://doi.org/10.1109/TCOMM.2013.012313.110509
  8. J. W. Howse, L. O. Ticknor, and K. R. Muske, "Least squares estimation techniques for position tracking of radioactive sources," Automatica, vol. 37, no. 11, pp. 1727-1737, 2001. https://doi.org/10.1016/S00051098(01) 00134-0
  9. Z. H. Qian and D. Y. Sun, "A survey on localization model in wireless networks," Chinese Journal of Computers, vol. 39, no. 6, pp. 1237-1256, 2016.
  10. D. Huang, Y. Zhao, Y. Zhao, and M. Chu, "An algebraic solution for single-observer passive coherent location using DOA-TDOA-FDOA measurements," Journal of Electronics & Information Technology, vol. 43, no. 3, pp. 735-744, 2021. http://dx.doi.org/10.11999/JEIT200470
  11. S. Li, H. Sun, and H. Esmaiel, "Underwater TDOA acoustical location based on majorization-minimization optimization," Sensors, vol, 20, no. 16, article no. 4457, 2020. https://doi.org/10.3390/s20164457
  12. Y. Zou and H. Liu, "TDOA localization with unknown signal propagation speed and sensor position errors," IEEE Communications Letters, vol. 24, no. 5, pp. 1024-1027, 2020. https://doi.org/10.1109/LCOMM.2020.2968434
  13. Z. Gong, C. Li, and F. Jiang, "Passive underwater event and object detection based on time difference of arrival," in Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, 2019, pp. 1-6. https://doi.org/10.1109/GLOBECOM38437.2019.9014020
  14. E. Dubrovinskaya and P. Casari, "Underwater direction of arrival estimation using wideband arrays of opportunity," in Proceedings of OCEANS 2019-Marseille, Marseille, France, 2019, pp. 1-7. https://doi.org/10.1109/OCEANSE.2019.8867262
  15. Y. Sun, Y. Yuan, Q. Xu, C. Hua, and X. Guan, "A mobile anchor node assisted RSSI localization scheme in underwater wireless sensor networks," Sensors, vol. 19, no. 20, article no. 4369, 2019. https://doi.org/10.3390/s19204369
  16. F. Qu, S. Wang, Z. Wu, and Z. Liu, "A survey of ranging algorithms and localization schemes in underwater acoustic sensor network," China Communications, vol. 13, no. 3, pp. 66-81, 2016. https://doi.org/10.1109/CC.2016.7445503
  17. Y. S. Zhao, D. X. Shao, Y. J. Zhao, and C. Zhao, "Single-observer TDOA-FDOA location based on constrained total least squares," Electronic Warfare Technology, vol. 2016, no. 6, pp. 1-7, 2016.
  18. J. Xu and L. Xue, "LS algorithm used in DF and localization," Chinese Journal of Radio Science, vol. 16, no. 2, pp. 227-230, 2001.
  19. Z. Ni, G. Feng, and B. Ma, "An algorithm of multiple-vessel localization based on weighting least squares," Transactions of Beijing institute of Technology, vol. 2005, no. 11, pp. 971-974, 2005.
  20. S. Fu, X. Kong, Z. Li, and J. Li, "Bearing-only target cross location of multi-station based on nonlinear least squares," Fire Control & Command Control, vol. 34, no. 8, pp. 80-83, 2009.
  21. L. Jin, H. Liang, and Y. Ma, "Target localization of UWSAN based on multi-modal information fusion," Journal of Northwestern Polytechnical University, vol. 35, no. 6, pp. 1020-1025, 2017.
  22. Y. Chu, L. He, and F. Yao, "An improved localization algorithm of Taylor series expansion search target," Optik, vol. 127, no. 19, pp. 8070-8075, 2016. https://doi.org/10.1016/j.ijleo.2016.05.084
  23. S. Liu, M. Hu, J. Forrest, and Y. Yang, "Progress of grey system models," Transactions of Nanjing University of Aeronautics and Astronautics, vol. 29, no. 2, pp. 103-111, 2012.
  24. Y. Zhu and L. Feng, "Research on more nodes collocation excitation source based on Newton iterative method," Chinese Journal of Sensors and Actuators, vol. 2011, no. 9, pp. 1322-1325, 2011.
  25. L. Feng and Y. Fan, "Taylor's series expansion search vibratory source localization algorithm based on the gross error gray discriminant," Journal of Northwest Normal University (Natural Science), vol. 11, no. 6, pp. 49-53, 2014.
  26. M. Wax and A. Adler, "Localization of multiple sources in the presence of model errors by total least squares," IEEE Transactions on Aerospace and Electronic Systems, vol. 57, no. 3, pp. 1949-1955, 2021. https://doi.org/10.1109/TAES.2020.3040538
  27. X. Zhi, W. Wang, and Q. Liu, "Study on the location of the vibratory object on ground by regular triangle array," Journal of Detection & Control, vol. 8, no. 4, pp. 27-29, 2006.