Performance Analysis and Hardware Verification of Feature Detection Using Cyclostationarity in OFDM Signal

Kanshiro KASHIKI

IEICE TRANSACTIONS on Communications   Vol.E101-B    No.10    pp.2142-2151
Publication Date: 2018/10/01
Publicized: 2018/04/13
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2017NEP0003
Type of Manuscript: Special Section PAPER (Special Section on Wireless Distributed Networks for IoT Era)
wireless distributed network,  OFDM signal,  cyclic autocorrelation function,  feature detection,  cyclostationarity,  performance analysis,  hardware implementation,  

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As one functionality of the wireless distributed network (WDN) enabling flexible wireless networks, it is supposed that a dynamic spectrum access is applied to OFDM systems for superior radio resource management. As a basic technology for such WDN, our study deals with the OFDM signal detection based on its cyclostationary feature. Previous relevant studies mainly relied on software simulations based on the Monte Carlo method. This paper analytically clarifies the relationship between the design parameters of the detector and its detection performance. The detection performance is formulated by using multiple design parameters including the transfer function of the receive filter. A hardware experiment with radio frequency (RF) signals is also carried out by using the detector consisting of an RF unit and FPGA. Thereby, it is verified that the detection characteristics represented by the false-alarm and non-detection probabilities calculated by the analytical formula agree well with those obtained by the hardware experiment. Our analysis and experiment results are useful for the parameter design of the signal detector to satisfy required performance criteria.