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Information Journal Paper

Title

WIDEBAND CYCLOSTATIONARY SPECTRUM SENSING: AN ADAPTIVE ALGORITHM-BASED APPROACH

Pages

  33-45

Abstract

 In this paper a CYCLOSTATIONARYa-a based WIDEBAND SPECTRUM SENSING method is proposed. The received signal passes through a rough and flexible filter with its effective band tuned to a specific part of the received signal spectrum. This part belongs to a target signal which potentially exists in the received signal. Some cyclic frequencies of the target signal are employed to derive a normalized least mean square (NLMS) adaptive algorithm that estimates the output of the filter from its frequency shifted samples. If the target is absent in the received signal, the norm of the weights of the NLMS ALGORITHM is almost zero. On the other hand, in the case of presence of the target, the norm of the weights will be greater than a certain threshold. The procedure is repeated to cover the entire band of the received signal and therefore it detects all CYCLOSTATIONARY signals with known cyclic frequencies in the received signal. The overall system is very easy to implement and fast and its performance is comparable to other SPECTRUM SENSING counterparts.

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    APA: Copy

    GARAKYARAGH, NOOSHIN, SHAHTALEBI, KAMAL, & FOROUZAN, AMIR REZA. (2016). WIDEBAND CYCLOSTATIONARY SPECTRUM SENSING: AN ADAPTIVE ALGORITHM-BASED APPROACH. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 7(3), 33-45. SID. https://sid.ir/paper/203027/en

    Vancouver: Copy

    GARAKYARAGH NOOSHIN, SHAHTALEBI KAMAL, FOROUZAN AMIR REZA. WIDEBAND CYCLOSTATIONARY SPECTRUM SENSING: AN ADAPTIVE ALGORITHM-BASED APPROACH. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2016;7(3):33-45. Available from: https://sid.ir/paper/203027/en

    IEEE: Copy

    NOOSHIN GARAKYARAGH, KAMAL SHAHTALEBI, and AMIR REZA FOROUZAN, “WIDEBAND CYCLOSTATIONARY SPECTRUM SENSING: AN ADAPTIVE ALGORITHM-BASED APPROACH,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 7, no. 3, pp. 33–45, 2016, [Online]. Available: https://sid.ir/paper/203027/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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