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


Yanli Chu, Yuyao He, Junfeng Chen, and Qiwu Wu, Journal of Information Processing Systems Vol. 19, No. 4, pp. 527-539, Aug. 2023  

https://doi.org/10.3745/JIPS.04.0284
Keywords: Error, least square method, Non-uniform Weight, Sensor Reliability, TDOA Positioning
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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.


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Cite this article
[APA Style]
Chu, Y., He, Y., Chen, J., & Wu, a. (2023). Non-uniform Weighted Vibration Target Positioning Algorithm Based on Sensor Reliability. Journal of Information Processing Systems, 19(4), 527-539. DOI: 10.3745/JIPS.04.0284.

[IEEE Style]
Y. Chu, Y. He, J. Chen, a. Q. Wu, "Non-uniform Weighted Vibration Target Positioning Algorithm Based on Sensor Reliability," Journal of Information Processing Systems, vol. 19, no. 4, pp. 527-539, 2023. DOI: 10.3745/JIPS.04.0284.

[ACM Style]
Yanli Chu, Yuyao He, Junfeng Chen, and and Qiwu Wu. 2023. Non-uniform Weighted Vibration Target Positioning Algorithm Based on Sensor Reliability. Journal of Information Processing Systems, 19, 4, (2023), 527-539. DOI: 10.3745/JIPS.04.0284.