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Non-uniform Weighted Vibration Target Positioning Algorithm Based on Sensor Reliability

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초록

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 ofthe positioning technology based on planar array. In this paper, a method of sensor reliability discrimination isproposed, 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. Theestimation characteristics of the least square method are fully utilized to calculate and fuse the positioningresults, and the non-uniform weighting method is used to correct the weighting factors. It effectively handlesthe decreased positioning accuracy due to measurement errors, and ensures that the algorithm performance isimproved significantly. Finally, the characteristics of the improved algorithm are compared with those of otheralgorithms. The experiment data demonstrate that the algorithm is better than the standard least square methodand can improve the positioning accuracy effectively, which is suitable for vibration detection with large noiseinterference.

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 ofthe positioning technology based on planar array. In this paper, a method of sensor reliability discrimination isproposed, 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. Theestimation characteristics of the least square method are fully utilized to calculate and fuse the positioningresults, and the non-uniform weighting method is used to correct the weighting factors. It effectively handlesthe decreased positioning accuracy due to measurement errors, and ensures that the algorithm performance isimproved significantly. Finally, the characteristics of the improved algorithm are compared with those of otheralgorithms. The experiment data demonstrate that the algorithm is better than the standard least square methodand can improve the positioning accuracy effectively, which is suitable for vibration detection with large noiseinterference.

참고문헌 (27)

  1. Yuyao He, "One-Dimensional Search Location Algorithm Based on TDOA", JIPS(Journal of Information Processing Systems), 16(3), pp.639~647 (2020), 한국정보처리학회[DOI]
  2. Y. Wang, "Improved localization algorithm based on planar array", Journal of Data Acquisition & Processing, 2009(2), pp.198~202 (2009)
  3. Feng Jiang, "An improved underwater TDOA", AOA joint localisation algorithm, 2021, pp.15(6), 802~814[DOI]
  4. Ali Noroozi, "Algebraic solution for three‐dimensional TDOA", AOA localisation in multiple‐input–multiple‐output passive radar, 2018, pp.12(1), 21~29[DOI]
  5. J. Zhang, "Application of Chan location algorithm in 3-dimensional space location", Computer Simulation, 26(1), pp.323~325 (2009)
  6. Benjamin Friedlander, "Localization of Signals in the Near-Field of an Antenna Array", IEEE Transactions on Signal Processing, 67(15), pp.3885~3893 (2019), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  7. Shinsuke Hara, "A Perturbation Analysis on the Performance of TOA and TDOA Localization in Mixed LOS", NLOS Environments, 2013, pp.61(2), 679~689[DOI]
  8. J. W. Howse, "Least squares estimation techniques for position tracking of radioactive sources", Automatica, 37(11), pp.1727~1737 (2001)[DOI]
  9. Z. H. Qian, "A survey on localization model in wireless networks", Chinese Journal of Computers, 39(6), pp.1237~1256 (2016)
  10. D. Huang, "An algebraic solution for single-observer passive coherent location using DOA-TDOA-FDOA measurements", Journal of Electronics & Information Technology, 43(3), pp.735~744 (2021)[DOI]
  11. Shuangshuang Li, "Underwater TDOA Acoustical Location Based on Majorization-Minimization Optimization", Sensors, 20(16), pp.4457~ (2020), MDPI AG[DOI]
  12. Yanbin Zou, "TDOA Localization With Unknown Signal Propagation Speed and Sensor Position Errors", IEEE Communications Letters, 24(5), pp.1024~1027 (2020), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  13. Z. Gong, "Passive underwater event and object detection based on time difference of arrival", Proceedings of 2019 IEEE Global Communications Conference (GLOBECOM), pp.1~6 (2019)
  14. E. Dubrovinskaya, "Underwater direction of arrival estimation using wideband arrays of opportunity", Proceedings of OCEANS 2019-Marseille, pp.1~7 (2019)
  15. Yanlong Sun, "A Mobile Anchor Node Assisted RSSI Localization Scheme in Underwater Wireless Sensor Networks", Sensors, 19(20), pp.4369~ (2019), MDPI AG[DOI]
  16. Qu Fengzhong, "A survey of ranging algorithms and localization schemes in underwater acoustic sensor network", China Communications, 13(3), pp.66~81 (2016), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  17. Y. S. Zhao, "Single-observer TDOA-FDOA location based on constrained total least squares", Electronic Warfare Technology, 2016(6), pp.1~7 (2016)
  18. J. Xu, "LS algorithm used in DF and localization", Chinese Journal of Radio Science, 16(2), pp.227~230 (2001)
  19. Z. Ni, "An algorithm of multiple-vessel localization based on weighting least squares", Transactions of Beijing institute of Technology, 2005(11), pp.971~974 (2005)
  20. S. Fu, "Bearing-only target cross location of multi-station based on nonlinear least squares", Fire Control & Command Control, 34(8), pp.80~83 (2009)
  21. L. Jin, "Target localization of UWSAN based on multi-modal information fusion", Journal of Northwestern Polytechnical University, 35(6), pp.1020~1025 (2017)
  22. Yanli Chu, "An improved localization algorithm of taylor series expansion search target", Optik, 127(19), pp.8070~8075 (2016), Elsevier BV[DOI]
  23. S. Liu, "Progress of grey system models", Transactions of Nanjing University of Aeronautics and Astronautics, 29(2), pp.103~111 (2012)
  24. Y. Zhu, "Research on more nodes collocation excitation source based on Newton iterative method", Chinese Journal of Sensors and Actuators, 2011(9), pp.1322~1325 (2011)
  25. L. Feng, "Taylor’s series expansion search vibratory source localization algorithm based on the gross error gray discriminant", Journal of Northwest Normal University(Natural Science), 11(6), pp.49~53 (2014)
  26. Mati Wax, "Localization of Multiple Sources in the Presence of Model Errors by Total Least Squares", IEEE Transactions on Aerospace and Electronic Systems, 57(3), pp.1949~1955 (2021), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  27. X. Zhi, "Study on the location of the vibratory object on ground by regular triangle array", Journal of Detection & Control, 8(4), pp.27~29 (2006)

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