Online decimation for wireless smart sensing
Wireless sensors are effective for structural health monitoring due to their ease of installation and maintenance.Many modern wireless sensors have a fixed sampling rate that is relatively high for such applications.This paper describes the realization of resource-efficient online decimation for wireless smart sensor platforms to enable arbitrary,user-specified sampling frequencies.As the lowest sampling frequency of the wireless sensor used in this paper is 1 kHz,users focusing on structural health monitoring(SHM)of civil infrastructure would need to apply signal processing to remove high-frequency noise present in the raw sampled data and generate meaningful data that can be used in further analysis.One way to accomplish this is to embed filters in the sampling process and decimate data online,before storing the sampled signals,thus making lower sampling frequency user-selectable.In this paper,we first discuss the properties of different filters,methods for filter design,criteria for filter selection and the techniques for efficient filter implementation.Experiments are conducted to compare sensing results between wireless and wired sensors to evaluate the performance and fidelity of the implemented algorithm.
structural health monitoring digital signal processing wireless smart sensor digital filter design
S.Zhou K.A.Mechitov Y.Fu B.F.Spencer
Department of Civil and Environmental Engineering,University of Illinois,Urbana-Champaign,USA Department of Civil and Environmental Engineering,University of Illinois,Urbana-Champaign,USA;Depart
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
1429-1439
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）