A Comprehensive Analysis of the Impact of System Parameters on Subspace-based DoA Estimation Performance

  • Bakhtiar A. Karim Department of Communication Engineering, Technical College of Engineering, Sulaimani Polytechnic University, Sulaymaniyah, Kurdistan Region, Iraq http://orcid.org/0000-0001-6417-5588
  • Haitham K. Ali Department of Communication Engineering, Technical College of Engineering, Sulaimani Polytechnic University, Sulaymaniyah, Kurdistan Region, Iraq http://orcid.org/0000-0001-9299-2091
Keywords: DoA, Subspace, MUSIC, Estimation, Computational-Complexity, Resolution


This work provides an explanatory analysis of the influence of input parameters on the performance of subspace-based Direction of Arrival (DoA) estimation algorithms. The objective of this work is twofold. First, to drive a Steering Vector (SV) that works for arbitrary array configuration rather than just Uniform Linear Array (ULA) geometry. Second, to identify how the performance of the subspace-based algorithms is affected by tuning the input parameters. The later objective is crucial as it allows optimizing the algorithm through selecting optimum parameters to set an appropriate tradeoff between complexity and performance based on the intended applications. Toward that end, we firstly drive an SV for arbitrary array configuration followed by revealing the working principle of subspace based DoA techniques. Secondly, we evaluate the impact of several parameters namely Signal to Noise Ratio (SNR), number of snapshots, number of array elements, separation between array elements, number of available sources, and dependency between sources to conduct our analysis. Numerical simulations over a wide range of scenarios along with intensive Monte Carlo simulations are conducted to show the influence of these parameters on the resolution, accuracy, and complexity of the subspace based DoA estimation algorithm. As demonstrated by the obtained results, the performance of this class of DoA estimation method is determined mostly by the values of the input parameters. Furthermore, the simulation results show that tradeoff between performance and computational complexity needs to be considered when the system parameters are chosen for DoA estimation algorithms.


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Author Biographies

Bakhtiar A. Karim, Department of Communication Engineering, Technical College of Engineering, Sulaimani Polytechnic University, Sulaymaniyah, Kurdistan Region, Iraq

Bakhtiar Ali Karim was born in 1989. He received his BSc degree in communications engineering from Sulaimani Polytechnic University (SPU), Iraq, in 2010, and MSc degree in communications and signal processing from university of Leeds, UK, 2016. In 2014, he achieved a scholarship from the Higher Committee for Education Development (HCED), Iraq, to complete the MSc. degree. Since 2012, he has been with the communications engineering department, SPU, Iraq, where he is currently a PhD student and lecturer. In 2020, he received a formal HCIA-5G Certificate from Huawei company and his currently a formal instructor for that company to deliver 5G courses. His current research interest is mainly focused on angle of arrival estimation algorithms, array signal processing, antenna design for 5G.

Haitham K. Ali, Department of Communication Engineering, Technical College of Engineering, Sulaimani Polytechnic University, Sulaymaniyah, Kurdistan Region, Iraq

Haitham K. Ali was born in 1970. He received his M.S. and Ph.D. degrees from the university of technology, Al-Rashied college of Engineering & science, Baghdad, Iraq, in 1997 and 2006, respectively. He is now a professor in electronics and communication engineering with the technical college of Engineering/ Sulaimani Polytechnic University (SPU). He is the author of several academic journals papers. His research interests are mainly focused on FPGA , Electronics and Communication, Digital Signal Processing (DSP), Image Processing and Radar.


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How to Cite
Karim, B., & Ali, H. (2022, December 27). A Comprehensive Analysis of the Impact of System Parameters on Subspace-based DoA Estimation Performance. UKH Journal of Science and Engineering, 6(2), 38-54. https://doi.org/https://doi.org/10.25079/ukhjse.v6n2y2022.pp38-54
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