ADLoc: an angle-delay fingerprint localisation method for MIMO-OFDM systems
by Chenlin He; Xiaojun Wang; Jiyu Jiao; Lei Wang; Youjia Tong
International Journal of Sensor Networks (IJSNET), Vol. 45, No. 2, 2024

Abstract: Fingerprint localisation has garnered increasing research interest owing to its exceptional reliability within non-line-of-sight scenarios. This paper introduces ADLoc, a novel angle-delay fingerprint localisation method for multiple input multiple output - orthogonal frequency division multiplexing systems. We extract an angle delay channel frequency power fingerprint matrix from the system's channel state information. Chi-square distance is introduced as a fingerprint similarity criterion due to its good performance in classification problems. Then, a convolutional neural network classification-based method is proposed. Simulation results indicate that ADLoc demonstrates commendable efficacy in enhancing localisation accuracy and time.

Online publication date: Mon, 03-Jun-2024

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