Rigorous Analysis on the Sensitivity of Cyclostationary Detection

Rigorous Analysis on the Sensitivity of Cyclostationary Detection
Title:
Rigorous Analysis on the Sensitivity of Cyclostationary Detection
Other Titles:
2017 IEEE Wireless Communications and Networking Conference (WCNC)
DOI:
10.1109/WCNC.2017.7925576
Publication Date:
22 March 2017
Citation:
Y. Zeng, "Rigorous Analysis on the Sensitivity of Cyclostationary Detection," 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, 2017, pp. 1-6. doi: 10.1109/WCNC.2017.7925576
Abstract:
As a major detection and identification method, cyclostationary detection (CSD) has been studied extensively for cognitive radio and other applications as well. CSD uses the cyclostationary features inherited in modulated communication signals to differentiate desired signal from other signals or noise. However, the impairments in the communication chain, like clock error or oscillator error or other errors, induces changes to the cyclostationary features. This causes a cyclic frequency mismatch in the detection. In this paper, the impact of cyclic frequency mismatch is studied mathematically in detail for the digitally modulated signals. Closed-form expressions for the discrete cyclic auto-correlations at any given number of samples are found. Furthermore, robustness of the cyclostationary detection to the cyclic frequency mismatch is found in an explicit expression. The theoretic analysis matches very well with simulations and can be used for predicting the detection performances and optimizing system parameters.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1558-2612
ISBN:
978-1-5090-4184-8
978-1-5090-4183-1
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