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http://dx.doi.org/10.7471/ikeee.2018.22.3.723

Performance of pilot-based signal detection for digital IoT doorlock system  

Lee, Sun Yui (Dept. of Wireless Communications Engineering, KwangWoon University)
Hwang, Yu Min (Dept. of Wireless Communications Engineering, KwangWoon University)
Sun, Young Ghyu (Dept. of Wireless Communications Engineering, KwangWoon University)
Yoon, Sung Hoon (Korea Global Engineering co., ltd.)
Kim, Jin Young (Dept. of Wireless Communications Engineering, KwangWoon University)
Publication Information
Journal of IKEEE / v.22, no.3, 2018 , pp. 723-728 More about this Journal
Abstract
This paper proposes a signal detection method for IoT door lock system which is a new application field of VLC (Visible Light Communication). This paper describes the signal detection technique for user recognition that needs to be overcome in order to apply VLC to door lock system which has a demand for new technology due to security issue. This system has security and high signal detection characteristics because it uses existing infrastructure to communicate with visible light. In order to detect the signal using FFT, the signal of the user who accesses the authentication channel based on the pilot signal is detected, and the performance of the false alarm probability and detection probability is shown in the channel model.
Keywords
Visible Light Communication(VLC); Quadrature Amplitude Modulation(QAM); Pulse Position Modulation(PPM); Frequency Shift Keying(FSK); Signal detection;
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