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Location-Aware Algorithm and Performance Analysis of Multiple Intelligent Nodes Based on SDN Architecture

机译:基于SDN架构的多个智能节点的位置感知算法与性能分析

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Acoustic positioning is a very useful tool in monitoring and tracking applications. It has a wide range of application scenarios in intelligent life perception in the future. The acoustic positioning of single node microphone array has been widely used in speech enhancement and other fields, but the coverage of this positioning method is limited, which cannot meet the requirements of large-scale acoustic detection. Therefore, this paper adopts a multi node distributed acoustic positioning system based on SDN architecture. The nodes are synchronized by the improved IEEE1588 precise clock protocol. The TDOA between nodes is calculated by the generalized cross correlation algorithm, and the spatial positioning of target acoustics is realized by the linear correction least square estimation method proposed in this paper.
机译:声学定位是监视和跟踪应用程序中非常有用的工具。在未来的智能生活感知中,它具有广泛的应用场景。单节点麦克风阵列的声学定位已经在语音增强等领域得到了广泛的应用,但是这种定位方法的覆盖范围有限,无法满足大规模声学检测的要求。因此,本文采用基于SDN架构的多节点分布式声学定位系统。节点通过改进的IEEE1588精确时钟协议进行同步。通过广义互相关算法计算节点间的TDOA,并通过本文提出的线性校正最小二乘估计方法实现目标声学的空间定位。

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