Research on indoor localization algorithm based on time unsynchronization

IF 2.4 Q2 ENGINEERING, MECHANICAL Nonlinear Engineering - Modeling and Application Pub Date : 2023-01-01 DOI:10.1515/nleng-2022-0279
Chen Chen, Yu Chen, Xiaogang Qi, Lifang Liu, Ying Cai
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Abstract

Abstract Due to the influence of crystal vibration, clock offset, and clock skew, time synchronization error will be caused. This study introduces several algorithms to reduce or eliminate the influence of time synchronization error on positioning results, including iterative time-of-arrival algorithm, linear position line algorithm, classical CHAN algorithm, quadratic programming algorithm, and an improved algorithm for quadratic programming problem using weighted least squares algorithm. They are applied to two-dimensional (2D) single target, 2D multi-target, three-dimensional, and various positioning scenarios considering the influence of clock skew and clock offset for the simulation test, which overcomes the defect that the previous algorithm simulation test has few application scenarios. The results show that the iterative time-of-arrival algorithm has smaller root mean square error, higher positioning accuracy, and stable positioning results, and the algorithm has universal applicability to each positioning scene with time synchronization error.
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基于时间不同步的室内定位算法研究
由于晶体振动、时钟偏移和时钟偏差的影响,会导致时间同步误差。本文介绍了几种降低或消除时间同步误差对定位结果影响的算法,包括迭代到达时间算法、线性位置线算法、经典CHAN算法、二次规划算法,以及一种利用加权最小二乘算法改进的二次规划问题算法。它们适用于二维(2D)单目标、二维多目标、三维以及考虑时钟偏差和时钟偏移对仿真测试影响的各种定位场景,克服了以往算法仿真测试应用场景少的缺陷。结果表明,迭代到达时间算法具有均方根误差小、定位精度高、定位结果稳定等优点,该算法对存在时间同步误差的各种定位场景具有普遍适用性。
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来源期刊
CiteScore
6.20
自引率
3.60%
发文量
49
审稿时长
44 weeks
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
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