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中文核心期刊

刘淼, 杨卓, 万光明, 孙思博, 付进. 针对周期偏移声信标的广义二阶时延差水声定位模型[J]. 声学学报, 2024, 49(1): 28-37. DOI: 10.12395/0371-0025.2022134
引用本文: 刘淼, 杨卓, 万光明, 孙思博, 付进. 针对周期偏移声信标的广义二阶时延差水声定位模型[J]. 声学学报, 2024, 49(1): 28-37. DOI: 10.12395/0371-0025.2022134
LIU Miao, YANG Zhuo, WAN Guangming, SUN Sibo, FU Jin. Generalized second order time difference of arrival localization model for the period drifted acoustic beacon[J]. ACTA ACUSTICA, 2024, 49(1): 28-37. DOI: 10.12395/0371-0025.2022134
Citation: LIU Miao, YANG Zhuo, WAN Guangming, SUN Sibo, FU Jin. Generalized second order time difference of arrival localization model for the period drifted acoustic beacon[J]. ACTA ACUSTICA, 2024, 49(1): 28-37. DOI: 10.12395/0371-0025.2022134

针对周期偏移声信标的广义二阶时延差水声定位模型

Generalized second order time difference of arrival localization model for the period drifted acoustic beacon

  • 摘要: 针对具有周期偏移的声信标定位问题, 提出了一种广义二阶时延差水声定位模型。将传统二阶时延差拓展至不需要等周期间隔选取定位节点的广义情况, 从而进一步提高定位精度; 同时, 引入松弛算法实现定位节点的最优化, 并引入密度聚类算法以提高输入时延野值的鲁棒性。仿真及湖试数据处理结果表明, 该模型相对于传统时延差模型或二阶时延差模型具有更高的定位精度。所提模型实现了针对周期漂移声信标的高精度定位, 典型使用场景下的定位精度可达到3 m。

     

    Abstract: A generalized second-order time difference of arrival (GSTDOA) underwater acoustic location model is proposed to solve the problem of the acoustic beacon localization with periodic offset. The traditional second-order time difference of arrival (STDOA) model is extended to the generalized case where the localization node is not required to be selected at equal periodic intervals. Therefore, the localization precision can be further improved. Besides, the RELAX algorithm is introduced to optimize the location node, and the density-based spatial clustering algorithm is introduced to improve the robustness of the input outliers. The simulation data and lake trail data show that the new model has higher localization precision than the traditional time difference of arrival (TDOA) model or the STDOA model. The localization model proposed in this paper realizes high-precision localization for the periodic drift acoustic beacon with the localization precision of 3 m in typical application scenarios.

     

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