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Synchronization error minimization using spectral characteristics and DWT denoising for cooperative communication networks

Author(s)
ANAND RANJAN Department of Electronics and Communication Engineering, Amity School of Engineering and Technology (ASET), AMITY University, Lucknow Campus, Uttar Pradesh, India.
O.P. SINGH Department of Electrical and Electronics Engineering, Amity School of Engineering and Technology (ASET), AMITY University, Lucknow Campus, Uttar Pradesh, India.
HIMANSHU KATIYAR Department of Electronics Engineering, Rajkiya Engineering College, Sonbhadra, Uttar Pradesh, India.
Abstract
The application of a cooperative communication system with a source, relay, and destination is discussed, along with a sensor data-aided DWT-based symbol timing synchronization. For low value of the signal-tonoise ratio (SNR) cases, a power spectrum estimation error correction is carried out. Cross spectral density based modal shape application uses timing synchronization using DFT property, and the results are compared. It is demonstrated that the cross power spectrum modal shape error is significantly reduced or insignificant when time synchronization is performed using DWT denoising. The benefit of diversity in cooperative communication may be lost over long periods of time due to a little time lag, it has been noted. It has been found that a large correction can be achieved by combining the DFT time lag correction properties with the DWT denoising method. The sensor response in the cooperative communication system faces high level of anomaly in spectral estimates due to error in sampling time of sensor nodes. Since the sensor nodes are of low hardware complexity hence simple but accurate methods are very challenging to find in wireless communication applications.This paper aims to: i) minimize the mismatch in sampling delay between sensor nodes to mitigate their impact on the global synchronization error of the cooperative communication network; ii) simulate and validate spectral characteristics based sampled sequences delay correction that enable the high accuracy in estimate of sample time mismatch on every node and calculation of modal value of sensor data frequency response; and iii) evaluate the conditions for nodes employing DWT based denoising prior to correction of time delay shift.
Publication Details
Page(s) 7320-7337
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 24, Year: 2022

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Keywords
Symbol Timing Error, Cooperative Communications, DWT Denoising, Timing Synchronization .
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