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用于减少信号跟踪误差的基本增量发送采样

Basic Send-on-Delta Sampling for Signal Tracking-Error Reduction.

作者信息

Diaz-Cacho Miguel, Delgado Emma, Barreiro Antonio, Falcón Pablo

机构信息

School of Computer Engineering, Campus de Ourense, Edificio Politecnico, 32004 Ourense, Spain.

School of Industrial Engineering, Campus Lagoas-Marcosende, 36310 Vigo, Spain.

出版信息

Sensors (Basel). 2017 Feb 8;17(2):312. doi: 10.3390/s17020312.

DOI:10.3390/s17020312
PMID:28208704
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5335925/
Abstract

This paper investigates the dynamic selection of an appropriate threshold for basic Send-on-Delta (SoD) sampling strategies, given an available transmission rate to reduce the signal tracking-error. The paper formulates the error-reduction principle and proposes an algorithm that calculates, in real time, the amplitude threshold value (also called delta value) for a desired mean transmission rate. The algorithm is implemented to be computed in a Send-on-Delta driver and is tested with three signals that match the step response of a second order control system. Comparison results with a conformant periodic transmission strategy reveals that it improves deeply the tracking-error while maintaining the desired average throughput.

摘要

本文研究了在给定可用传输速率的情况下，为基本增量发送（SoD）采样策略动态选择合适阈值，以减少信号跟踪误差。本文阐述了误差减少原理，并提出了一种算法，该算法可实时计算出所需平均传输速率的幅度阈值（也称为增量值）。该算法在增量发送驱动程序中实现计算，并使用与二阶控制系统的阶跃响应相匹配的三个信号进行测试。与一致的周期性传输策略的比较结果表明，它在保持所需平均吞吐量的同时，大大提高了跟踪误差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/32db43e796e0/sensors-17-00312-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/3ed5d1fa4e0d/sensors-17-00312-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/f669b02f24a3/sensors-17-00312-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/2a0a1be4f9f9/sensors-17-00312-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/a344f3652b21/sensors-17-00312-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/2039bbd38c99/sensors-17-00312-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/bb6a7fe54bb1/sensors-17-00312-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/aa1dee261663/sensors-17-00312-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/32db43e796e0/sensors-17-00312-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/3ed5d1fa4e0d/sensors-17-00312-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/f669b02f24a3/sensors-17-00312-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/2a0a1be4f9f9/sensors-17-00312-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/a344f3652b21/sensors-17-00312-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/2039bbd38c99/sensors-17-00312-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/bb6a7fe54bb1/sensors-17-00312-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/aa1dee261663/sensors-17-00312-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a1ae/5335925/32db43e796e0/sensors-17-00312-g008.jpg

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