Simulation and analysis of 60 GHz MMW for localisation based on machine learning

The Journal of Engineering

关键词: frequency 60.0 GHz;    time resolution;    precise TOA estimations;    time-of-arrival estimation;    60 GHz pulse;    optimum thresholds;    signal-to-noise ratios;    received pulses;    indoor localisation system;    NN method;    machine learning;    energy detection receiver;    60 GHz MMW;    neural network;    robustness;   

DOI  :  10.1049/joe.2017.0264

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

The 60 GHz pulse is more practical for the indoor localisation system due to its better time resolution. Usually, time-of-arrival (TOA) estimation with higher accuracy is critical to the indoor localisation. To acquire precise TOA estimations, a novel threshold crossing technique using neural network (NN) is discussed via analysing the characteristics of the received pulses based on the energy detection receiver. The relationship between the optimum thresholds and the signal-to-noise ratios (SNRs) are researched. Meanwhile, the influences caused by changing integration periods and channel models are examined. Results show that the proposed NN method can provide better accuracy and robustness to the lower SNR in the models designed by TG 3c.

【 授权许可】

CC BY