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This paper presents a double-layer dictionary learning algorithm (DDLC) for indoor localization using channel state information (CSI), which aims to enhance positioning accuracy in complex indoor environments. The DDLC system consists of an offline training stage that constructs region-specific sub-dictionaries and an online positioning stage that utilizes support vector discriminators for fingerprint matching. Experimental results demonstrate that DDLC effectively reduces positioning errors and maintains s

Author

Po Po

Language

EN