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A typical WiFi-based indoor localization technique estimates a device’s location by comparing received signal strength indicator (RSSI) against stored fingerprints and finding the closest matches. However, the collection of fingerprints is notoriously laborious and costly. It is challenging to reduce fingerprint collection and recover missing data without introducing significant errors. In this article,...
Many WLAN-based indoor localization techniques estimate a target's location by comparing received signal strength indicator (RSSI) with stored fingerprints. However, the collection of fingerprints is notoriously tedious and time-consuming. It is challenging to reduce the fingerprint collection and recover absent data without introducing errors. In this article, a new approach based on compressive...
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