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Information Journal Paper

Title

AN EFFICIENT METHOD FOR MODULATION RECOGNITION OF MPSK SIGNALS IN FADING CHANNELS

Author(s)

HAKIMI S. | Issue Writer Certificate 

Pages

  93-102

Abstract

 Automatic MODULATION RECOGNITION of digital signals is an essential for intelligent communication systems. Most automatic classifications of digital signal types deal with recognizing signals formats in presence of additive white Gaussian noise (AWGN) in channels. However, real world communication environments, such as wireless communication channels, suffer from fading effects. There are few methods proposed to perform in fading channels. This paper presents a high efficient method for identification of M-array phase shift keying (MPSK) digital signal type. The proposed method is heuristic hybrid, formed by a multilayer perceptron (MLP) NEURAL NETWORK as the classifier and the BEES ALGORITHM (BA) as the optimizer. An equalizer is also used to reduce channel effects. A suitable combination of higher order statistics, up to eighth, is considered as prominent characteristics of signals. Simulation results validate the high efficiency of the proposed technique in recognizing the types of digital signals even at low SNRs.

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  • Cite

    APA: Copy

    HAKIMI, S.. (2017). AN EFFICIENT METHOD FOR MODULATION RECOGNITION OF MPSK SIGNALS IN FADING CHANNELS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, 15(2), 93-102. SID. https://sid.ir/paper/228217/en

    Vancouver: Copy

    HAKIMI S.. AN EFFICIENT METHOD FOR MODULATION RECOGNITION OF MPSK SIGNALS IN FADING CHANNELS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ[Internet]. 2017;15(2):93-102. Available from: https://sid.ir/paper/228217/en

    IEEE: Copy

    S. HAKIMI, “AN EFFICIENT METHOD FOR MODULATION RECOGNITION OF MPSK SIGNALS IN FADING CHANNELS,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, vol. 15, no. 2, pp. 93–102, 2017, [Online]. Available: https://sid.ir/paper/228217/en

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