4.8 Article

Robust Multitarget Device-Free Localization and Tracking via Visible Light Sensing

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 17, Pages 16446-16462

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2022.3153317

Keywords

Location awareness; Target tracking; Sensors; Radar tracking; Light emitting diodes; Internet of Things; Radio transmitters; Device-free localization (DFL); light sensing; multitarget tracking; shadowing effect; target assignment

Funding

  1. Natural Science Foundation of China [61972279]
  2. China Social Science Foundation of China [13ZD162]
  3. China Scholarship Council

Ask authors/readers for more resources

Device-free localization is a promising technique that can locate and track targets without devices. The multitarget device-free localization faces two main challenges, including the production of pseudotargets and the potential swapping of targets' identities. To solve these problems, a robust framework using visible light sensing is proposed.
Device-free localization (DFL) is a promising technique that can locate and track targets carrying no devices via detecting shadowed links caused by targets. There are two main challenging problems needed to be solved for the multitarget DFL. One is that pseudotargets can be produced by the intersection points of the shadowed links caused by different targets in the localization stage. The other is that targets' identities may be wrongfully swapped when targets come close to each other in the tracking stage. To solve the two problems, a robust multitarget DFL framework using visible light sensing is proposed. The proposed framework introduces a positioning label to verify the authenticity of the estimated target. Moreover, a successive cancellation algorithm is utilized to obtain coarse target areas, which are used as the constraint information for calculating locations and features of targets. With the prior information related to the locations and features of targets, a multitarget tracking method based on the Hungarian algorithm and the spatial filter is proposed to solve the target assignment problem. Extensive simulation results show that the proposed multitarget DFL framework achieves outstanding performance both in localization and tracking accuracy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available