Abstract
Most of the indoor localization systems nowadays are based on received signal strength indication (RSSI), which has further increased the importance of precise localization of access points (AP) in a wireless local area network (WLAN). Since most existing AP localization algorithms suffer from a high error rate in practical scenarios due to multipath fading and temporal dynamics, we propose an AP localization algorithm based on the channel status information (CSI) sequence-based localization (SBL-CSI). The proposed algorithm SBL-CSI is an efficient localization method that consists of the following three major steps: Firstly, a 2D localization space is divided by special APs into distinct regions, and each region has a unique location sequence that represents the distance ranks of special APs to that region and constructs the location sequence table. Then, the relative distance of the ordinary AP, served in the location sequence, is obtained by using CSI between the ordinary AP and special AP. Finally, the “nearest” feasible sequence of the ordinary AP in the location sequence table is searched, and the centroid of the corresponding region is the ordinary AP’s localization. Compared with the traditional localization algorithm based on RSSI, the experiment results demonstrate that the positioning accuracy is improved approximately 24.31%.
Highlights
Wireless indoor positioning generates many applications based on geographical location in a wide range of life, production, business and public services
This paper demonstrates that the sequence localization algorithm in [22] can be exploited for high accuracy, and we propose a wireless local area network (WLAN) access point localization algorithm based on the channel status information (CSI) sequence to position the wireless access points (AP)
The sequence-based localization (SBL) algorithm is the solution that calculates the location sequences of normal APs based on received signal strength indication (RSSI), while RSSI suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics
Summary
Wireless indoor positioning generates many applications based on geographical location in a wide range of life, production, business and public services. Indoor localization is more challenging and has been gaining growing attention with the flourishing of mobile and pervasive computing Pioneering works in this field can be roughly categorized as either requiring measurement of the the distance or angle of nodes or no measurement in the positioning process. An infrastructure network is widely used where the AP of WLAN is in charge of the coverage and communication of the wireless network. We research the localization of wireless access points, the significance of which is that with the development of high-density WLAN, the coordination and management of wireless networks has become a critical issue and determines the APs’ location by using their signals. (ii) We develop a sequence-based localization (SBL)-CSI localization framework, which leverages fine-gained PHY layer information to improve AP positioning performance.
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