Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (1): 38-46.doi: 10.23919/JSEE.2022.000005

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Feasibility of a novel beamforming algorithm via retrieving spatial harmonics

Jafar NOROLAHI1(), Paeiz AZMI1,*(), Mahdi NASIRIAN2()   

  1. 1 Electrical and Computer Engineering Department, Tarbiat Modares University, Tehran 14115, Iran
    2 Department of Electrical and Computer Engineering, Sharif University of Technology,Tehran 11365, Iran
  • Received:2020-07-31 Accepted:2021-11-15 Online:2022-01-18 Published:2022-02-22
  • Contact: Paeiz AZMI;;m.nasirian@alum.sharif,edu
  • About author:|NOROLAHI Jafar was born in 1985. He received his M.S. degree in communication engineering from Tarbiat Modares University, Tehran, Iran, in 2015. He was awarded the Top Student Prize in Communication Field at Tarbiat Modares University in 2015. Since 2012, he has been with the telecommunication research center in Tehran in a researcher position. His current research focus is machine learning implementation in 5G cellular network technology. His research interests include wireless communications, signal processing, antenna array, MIMO, and machine learning. E-mail:||AZMI Paeiz was born in 1974. He received his B.S., M.S., and Ph.D. degrees in electrical engineering from Sharif University of Technology (SUT), Tehran, Iran, in 1996, 1998, and 2002, respectively. Since September 2002, he has been with the Electrical and Computer Engineering Department of Tarbiat Modares University, where he became an associate professor in 2006 and he is a full professor now. From 1999 to 2001, he was with the Advanced Communication Science Research Laboratory, Iran Telecommunication Research Center (ITRC), Tehran, Iran. From 2002 to 2005, he was with the Signal Processing Research Group at ITRC. He is a senior member of IEEE. His current research interests include modulation and coding techniques, digital signal processing, wireless communications, resource allocation, molecular communications, and estimation and detection theories.E-mail:||NASIRIAN Mahdi was born in 1988. He received his B.S. degree from University of Tehran, Tehran, Iran, in 2003, and his M.S. and Ph.D. degrees in electrical engineering from Sharif University of Technology (SUT), Tehran, Iran, in 2005 and 2013 respectively. His research interests include digital signal processing with application to communication systems, radar design, and synthetic aperture radar.E-mail:


This paper introduces an algorithm for beamforming systems by the aid of multidimensional harmonic retrieval (MHR). This algorithm resolves problems, removes limitations of sampling and provides a more robust beamformer. A new sample space is created that can be used for estimating weights of a new beamforming called spatial-harmonics retrieval beamformer (SHRB). Simulation results show that SHRB has a better performance, accuracy, and applicability and more powerful eigenvalues than conventional beamformers. A simple mathematical proof is provided. By changing the number of harmonics, as a degree of freedom that is missing in conventional beamformers, SHRB can achieve more optimal outputs without increasing the number of spatial or temporal samples. We will demonstrate that SHRB offers an improvement of 4 dB in signal to noise ratio (SNR) in bit error rate (BER) of $ {10}^{-4} $ over conventional beamformers. In the case of direction of arrival (DOA) estimation, SHRB can estimate the DOA of the desired signal with an SNR of ?25 dB, when conventional methods cannot have acceptable response.

Key words: multi-input-multi-output (MIMO), beamforming, spatial and temporal signal processing, multidimensional harmonic retrieval (MHR), space-time signal processing, array signal processing