Optimization of Device-Free Localization with Springback Dual Models: A Synthetic and Analytical Framework

In complex environments, traditional device-free localization (DFL) methods based on received signal strength (RSS) encounter difficulties in simultaneously achieving high accuracy and efficiency due to multipath effects and noise interference. These methods typically depend on convex sparsity regul...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 25; H. 18; S. 5696
Hauptverfasser:	Li, Jinan, Tan, Benying, Qin, Yang, Mo, Yaoyao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 12.09.2025
Schlagworte:	Accuracy Algorithms Convex analysis Decomposition device-free localization difference of convex functions algorithm Efficiency Fines & penalties Localization Methods Optimization sparse representation Sparsity Springback penalty transform learning Springback penalty transform learning difference of convex functions algorithm device-free localization sparse representation
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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