On Optimizing Fractional Lower Order Covariance Based Synchronization Method for Random Communication Systems

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Ahmed, Areeb
Savacı, Ferit Acar

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Abstract

Previously, the concept of Pilot Assisted Synchronization (PAS) and Fractional Lower Order Covariance (FLOC) has been incorporated together to synchronize alpha-stable noise based communication system which gave birth to Synchronized Random Communication Systems (SRCS). In this paper, an optimization criterion, i.e. FLOC Margin, has been proposed to improve the efficiency of the Fractional Lower Order Covariance based Correlators (FLOCCs) at the receiver side, hence, resulting in enhanced Bit Error Rate (BER) performance of SRCS. Since, the characteristic exponent and impulsiveness parameter are mainly responsible in generating and shaping up the required pilot sequence, therefore, the effects of these parameters on BER performance has also been observed by fluctuating them in their respective ranges. It has been shown that the proposed optimization criterion increases the BER efficiency of SRCS and also reveals the specific range of the characteristic exponent and impulsiveness parameter which can be exploited to achieve the optimum performance.

Description

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018; Altın Yunus Resort ve Thermal Hotel, Izmir; Turkey; 2 May 2018 through 5 May 2018

Keywords

Signal processing, Fractional lower order covariance, Alpha-stable noise, Random communication, Synchronization, Signal processing, Alpha-stable noise, Random communication, Synchronization, Fractional lower order covariance

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Ahmed, A., and Savacı, F. A. (2018, May 2-5). On optimizing fractional lower order covariance based synchronization method for random communication systems. Paper presented at the 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. doi:10.1109/SIU.2018.8404466

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Scopus : 7

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