In this paper, we consider to measure time-varying dynamic

signals at discrete locations by using a single mobile sensor.

The challenge arises as the mobile sensor is required to transit

between the sampling locations, resulting in intermittent measurements

at each location, and the time-varying dynamic signals

must be recovered from the intermittent measured data. In

this work, we propose to tackle this single mobile sensing of

multi- location dynamic signals through the compressed sensing

framework. Both the temporal-spatial coupling arising from

the random sampling requirement and the mobility limitation

of the sensor in transition between sampling locations are addressed

through a simulated annealing based optimization approach.

Simulation results are presented and discussed to illustrate

the proposed method.


Mobile Sensing of Multi-Dimensional Dynamic Field via Compressed Sensing

Division / Sponsors: 
Dynamic Systems & Control (DSCD)

Paper Proceedings: https://asmedigitalcollection.asme.org/DSCC/DSCC2020/volume/84270

DSCC2020 - Virtual Conference

Supporting the need among researchers worldwide for additional online and multimedia content, ASME now offers the ASME Conference Video Collection. This platform will collect and provide long-term access to conference presentation videos, encompassing all technology areas within ASME's technical conference and events program. About 30,000-40,000 engineers across all mechanical engineering and related disciplines participate in ASME conferences each year. This includes authors of approximately 6,000 to 8,000 technical papers published by ASME, the majority of whom also submit video presentations for our virtual conferences. The video collection will be available as an add-on to existing product packages or as a separate subscription.