An Analysis of the Accuracy of Bluetooth Low Energy for Indoor Positioning Applications
نویسندگان
چکیده
This study investigated the impact of Bluetooth Low Energy devices in advertising/beaconing mode on fingerprint-based indoor positioning schemes. Early experimentation demonstrated that the low bandwidth of BLE signals compared to WiFi is the cause of significant measurement error when coupled with the use of three BLE advertising channels. The physics underlying this behaviour is verified in simulation. A multipath mitigation scheme is proposed and tested. It is determined that the optimal positioning performance is provided by 10Hz beaconing and a 1 second multipath mitigation processing window size. It is determined that a steady increase in positioning performance with fingerprint size occurs up to 7 ±1, above this there is no clear benefit to extra beacon coverage.
منابع مشابه
Improving Distance Estimation in Object Localisation with Bluetooth Low Energy
The arrival of Bluetooth Low Energy (BLE) creates opportunities for great innovations. One possible application is object localisation. We present our unique software that can track objects and help finding their location within a house perimeter. With the help of Bluetooth beacons that can be attached to different items, we can estimate the distance between the mobile device and the object wit...
متن کاملEvaluation of indoor positioning based on Bluetooth
Nowadays, positioning technologies are used in a wide variety of areas such as providing driving directions and tracking valuable goods to name a few. Since the introduction of the global positioning system(GPS), it has become a de facto standard for outdoor positioning applications. In contrast to this, no similar widespread technique is available for indoor positioning or in areas where GPS i...
متن کاملAn Indoor Positioning System Based on Wi-Fi for Energy Management in Smart Buildings
To offer indoor services to occupants in the context of smart buildings, it is necessary to consider information concerning to the identity and location of the occupants. This paper proposes an indoor positioning system (IPS) based on Wi-Fi fingerprint and K-nearest neighbors (KNN) method. The positioning of a mobile device (MD) using Wi-Fi technology involves online and offline phases. In this...
متن کاملA Bluetooth Low Energy Indoor Positioning System with Channel Diversity, Weighted Trilateration and Kalman Filtering
Indoor Positioning Systems (IPS) using Bluetooth Low Energy (BLE) technology are currently becoming real and available, which has made them grow in popularity and use. However, there are still plenty of challenges related to this technology, especially in terms of Received Signal Strength Indicator (RSSI) fluctuations due to the behaviour of the channels and the multipath effect, that lead to p...
متن کاملFusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization
Indoor user localization and tracking are instrumental to a broad range of services and applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) and Ambient Assisted Living (AAL) scenarios. Due to the widespread availability of IEEE 802.11, many localization platforms have been proposed, based on the Wi-Fi Received Signal Strength (RSS) indicator, using algori...
متن کامل