Investigating Multi-array Antenna Signal Convergence using Wavelet Transform and Krylov Sequence.

Muhammad Ahmed Sikander; RASHID HUSSAIN; Abdul Rahman Memon

Author(s)

Muhammad Ahmed Sikander Hamdard Institute of Engineering & Technology, Facultyof Engineering Sciences & Technology, Hamdard University, Karachi, Pakistan

RASHID HUSSAIN Graduate School, Faculty of Graduate School of Engineering, Sciences & Information Technology, Karachi, Pakistan

Abdul Rahman Memon New Ports Institute of Communication & Economics, Faculty of Engineering & Technology, New Ports University, Karachi, Pakistan

Abstract

In the present world, wireless communication is becoming immensely popular for plethora of applications. Technology has been advancing at an accelerated rate leading to make communication reliable. Still, there are issues need to be address to minimize errors in the transmission. This research study expounds on the rapid convergence of the signal. Convergence is considered to be an important aspect in wireless communication. For rapid convergence, two ambiguities should be addressed; Eigenvalue spread and sparse identification or sparsity of the signal. Eigen value spread is defining as the ratio of minimum to maximum Eigenvalue, whereas sparsity is defining as the loosely bounded system. In this research, two of these attributes are investigated for MAA (Multi-Array Antenna) signal using the cascading of Wavelet and Krylov processes. Specifically, the MAA signal is applied in the research because nowadays there are many physical hindrances in the communication path. These hurdles weaken the signal strength which in turn effects the quality of the reception. WT (Wavelet Transform) is used to address the Eigenvalue problem and the Krylov sequence is used to attempt the sparse identification of the MAA signal. The results show that the convergence of the MMA signal is improved by applying Wavelet transform and Krylov Subspace.

Publication Details

Page(s) 169-176

DOI DOI not available

Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 37, Issue: 1, Year: 2018

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