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

  • Muhammad Ahmed Sikander Hamdard Institute of Engineering and Technology, Faculty of Engineering Sciences and Technology, Hamdard University, Karachi
  • Rashid Hussain Graduate School, Faculty of Graduate School of Engineering, Sciences and Information Technology, Karachi.
  • Abdul Rahman Memon New Ports Institute of Communication and Economics, Faculty of Engineering and Technology, New Ports University, Karachi.


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.

Jan 1, 2018
How to Cite
SIKANDER, Muhammad Ahmed; HUSSAIN, Rashid; MEMON, Abdul Rahman. Investigating Multi-Array Antenna Signal Convergence using Wavelet Transform and Krylov Sequence. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 37, n. 1, p. 8, jan. 2018. ISSN 2413-7219. Available at: <>. Date accessed: 16 aug. 2022. doi:
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License