School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China.
School of Information Engineering, Huizhou Economic and Polytechnic College, Huizhou 516057, China.
Sensors (Basel). 2019 Feb 21;19(4):906. doi: 10.3390/s19040906.
Multi-group scanning of ultrasonic phased arrays (UPAs) is a research field in distributed sensor technology. Interpolation filters intended for fine delay modules can provide high-accuracy time delays during the multi-group scanning of large-number-array elements in UPA instruments. However, increasing focus precision requires a large increase in the number of fine delay modules. In this paper, an architecture with fine delay modules for time division scheduling is explained in detail. An improved bound fit (IBF) algorithm is proposed, and an analysis of its mathematical model and time complexity is provided. The IBF algorithm was verified by experiment, wherein the performances of list, longest processing time, bound fit, and IBF algorithms were compared in terms of frame data scheduling in the multi-group scan. The experimental results prove that the scheduling algorithm decreased the makespan by 8.76⁻21.48%, and achieved the frame rate at 78 fps. The architecture reduced resource consumption by 30⁻40%. Therefore, the proposed architecture, model, and algorithm can reduce makespan, improve real-time performance, and decrease resource consumption.
超声相控阵（UAP）多通道扫描是分布式传感器技术领域的一个研究方向。用于精细延时模块的插值滤波器可在 UPA 仪器中对大量阵元进行多通道扫描时提供高精度的延时。然而，为了提高聚焦精度，需要大量增加精细延时模块的数量。本文详细阐述了一种采用精细延时模块的时分调度架构。提出了一种改进的界拟合（IBF）算法，并对其数学模型和时间复杂度进行了分析。通过实验对 IBF 算法进行了验证，比较了列表、最长处理时间、界拟合和 IBF 算法在多通道扫描中的帧数据调度方面的性能。实验结果证明，调度算法将总处理时间减少了 8.76⁻21.48%，并实现了 78 fps 的帧率。该架构还减少了 30⁻40%的资源消耗。因此，所提出的架构、模型和算法可以减少总处理时间、提高实时性能和降低资源消耗。
