Indoor Positioning and Communication Using MIMO-OFDM Systems in Smart Building Environments
DOI:
https://doi.org/10.31838/NJAP/07.03.14Keywords:
Indoor Positioning System (IPS), MIMO-OFDM, Channel State Information (CSI), Smart Buildings, Beamforming, OFDM-based Communication, CSI-Based Localization, Indoor Wireless Communication, Joint Localization and Communication, Indoor Wireless Propagation ModelingAbstract
It has resulted in the appearance of smart building technologies that have led to the necessity of the provision of reliable indoor communication and small-scale localization becoming combined services. This paper presents the proposal of coherent model comprising Multi Input Multi Output-Orthogonal frequency Division Multiplexing (MIMO-OFDM) systems to ensure the realization of concurrent indoor localization and wireless communications. The aim is to utilize the spatial and frequency diversity of MIMO-OFDM and the Channel State Information (CSI) to permit to achieve decimeter accuracy in localization without sacrificing communication performance. The CSI features extracted on the basis of the signal variations in subcarriers are used to develop a fingerprint-based positioning algorithm. A MATLAB based simulation utility is used to test the system and the field measurements taken are verified by a software defined radio (SDR) testbed in an indoor smart office floor plan: 30 m by 30 m. The simulation involves use of the IEEE 802.11ay indoor channel model and contains dynamic user mobility, multiple fading, and non-line-of-sight (NLOS) environments. APIs were studied, including average positioning error, data throughput and packet loss rate. Experimental results reveal that the proposed method reaches a maximum average positioning accuracy of less than 0.3 meters and support over 150 Mbps at a very low level of packet losses compared to baseline RSSI-based and standalone CSI-based approaches. The issue of real-time CSI analysis and adaptive beamforming also has the benefit of improving performance on different environmental conditions. The work establishes the viability and efficiency of having joint communication and positioning systems based on MIMO-OFDM as applied to current and future applications of smart buildings where scalable and infrastructure-restricted solutions to indoor localization and wireless connectivity is required.
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