Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms

Authors

  • Jesús Roberto del Ángel Ruíz Instituto Politécnico Nacional
  • Xochitl Maya Rosales Instituto Politécnico Nacional
  • Juan Gerardo Avalos Instituto Politécnico Nacional https://orcid.org/0000-0001-8516-2524
  • Carlos Alfonso Trejo Villanueva Instituto Politécnico Nacional
  • Giovanny Sánchez Rivera Instituto Politécnico Nacional

DOI:

https://doi.org/10.37537/rev.elektron.6.1.140.2022

Keywords:

Beamforming, adaptive filtering, adaptive algorithms, convex combination

Abstract

Beamforming is a wireless communication technique used in telecommunications applications, which is used to separate a desired signal from interfering signals. This technique increases the coverage range and reduces the interference problem, improving the performance of the systems. To achieve this operation, adaptive algorithms are required. In this work, an alternating structure for beamforming systems is presented, which is composed of two algorithms, the Sign Regressor Least Mean Square (SR-LMS) and the Affine Projection Like (APL) algorithm. The results show that the proposed structure has the best characteristics of the combined algorithms, obtaining an algorithm with a high convergence speed and lower computational cost compared to other algorithms based on conventional convex combinations.

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References

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Published

2022-06-15

Issue

Vol. 6 No. 1 (2022)

Section

Telecommunications and Aerospace Industry and Systems

License

The authors who publish in this journal agree with terms established in the license Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

How to Cite

[1]
J. R. del Ángel Ruíz, X. M. Rosales, J. G. Avalos, C. A. Trejo Villanueva, and G. Sánchez Rivera, “Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms”, Elektron, vol. 6, no. 1, pp. 52–57, Jun. 2022, doi: 10.37537/rev.elektron.6.1.140.2022.