Fast prototyping of an SDR WLAN 802.11b receiver for an indoor positioning system
Erick Schmidt, David Akopian

TL;DR
This paper presents a rapid prototyping SDR WLAN 802.11b receiver for indoor positioning, enhancing fingerprint-based IPS with channel estimates to improve accuracy in low-AP scenarios, using LabVIEW and SVM classification.
Contribution
It introduces a cost-effective SDR-based WLAN beacon receiver capable of real-time RSS and channel estimate measurements for improved indoor positioning accuracy.
Findings
Achieved 9 packets/sec measurement rate per AP.
Enhanced fingerprinting accuracy with channel estimates.
Validated system performance in cluttered indoor environments.
Abstract
Indoor positioning systems (IPS) are emerging technologies due to an increasing popularity and demand in location based service (LBS). Because traditional positioning systems such as GPS are limited to outdoor applications, many IPS have been proposed in literature. WLAN-based IPS are the most promising due to its proven accuracy and infrastructure deployment. Several WLAN-based IPS have been proposed in the past, from which the best results have been shown by so-called fingerprint-based systems. This paper proposes an indoor positioning system which extends traditional WLAN fingerprinting by using received signal strength (RSS) measurements along with channel estimates as an effort to improve classification accuracy for scenarios with a low number of Access Points (APs). The channel estimates aim to characterize complex indoor environments making it a unique signature for…
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