NDLI: Blind parameter estimation for OFDM interception receiver with iterative cyclostationary analysis

Content Provider	IEEE Xplore Digital Library
Author	Liu, J.G. Xianbin Wang Nadeau, J. Ho, P.
Copyright Year	2011
Description	Author affiliation: Dept. of Electrical and Computer Engineering, The University of Western Ontario, Canada (Liu, J.G.; Xianbin Wang; Nadeau, J.) \|\| School of Engineering Science, Simon Fraser University, Canada (Ho, P.)
Abstract	Although cyclostationary analysis of OFDM signals has been widely explored for spectrum sensing and signal identification, the associated high computational complexity requires additional processing and detection time, which further prevents the related techniques from fulfilling the demands of real-time military applications. In addition, recognizable and distinctive features of an OFDM signal in standards-based civilian communications may not be available in military communications thus, posing a challenge for accurate identification of the OFDM system parameters. In this paper, a low-complexity interception receiver, with the capability of blind OFDM parameter estimation, is proposed. The interception receiver design is based on cyclostationary feature detection over a selected cyclic spectrum range using iterative techniques, instead of an exploration of the entire spectrum. Therefore, the computational complexity of signal interception is dramatically reduced. Monte Carlo simulations are conducted to evaluate the performance of the individual modules as well as the interception receiver. Numerical results show that the proposed algorithm is capable of signal detection in blind scenarios with improved performance.
Starting Page	2211
Ending Page	2215
File Size	414693
Page Count	5
File Format	PDF
ISBN	9781467300797
ISSN	21557578
e-ISBN	9781467300810
DOI	10.1109/MILCOM.2011.6127650
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	OFDM Estimation Signal resolution Receivers Feature extraction Accuracy Correlation
Content Type	Text
Resource Type	Article

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