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Improving Performance of GNSS Acquisition Systems by Optimizing TM-CFAR Thresholds Using Metaheuristics

Authors

  • Elbahdja Ourfella Kasdi Merbah University, Ouargla, Algeria
  • Sabra Benkrinah Kasdi Merbah University, Ouargla, Algeria
  • Naceur Aounallah Kasdi Merbah University, Ouargla, Algeria

DOI:

https://doi.org/10.26636/jtit.2026.2.2518

Keywords:

GNSS, metaheuristic optimization techniques, Rayleigh fading channel, signal acquisition, TM-CFAR detector

Abstract

Signal acquisition is one of the key signal processing tasks performed by global navigation satellite system (GNSS) receivers. It involves detecting the presence or absence of a signal by comparing it with a predefined threshold, which can be either fixed or adaptive. This study focuses on optimizing the threshold of the trimmed mean constant false alarm rate (TM-CFAR) detector under Rayleigh fading conditions, employing metaheuristic optimization techniques, due to their proven efficacy in solving complex optimization problems. Furthermore, two TM-CFAR detectors are applied to the data and pilot channels of the GNSS system. Their outputs are then combined using two logical fusion strategies: AND and OR rules. Simulation results demonstrate that the optimized thresholds improve the performance of the GNSS signal acquisition system.

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References

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cover page 2_2026 early access

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Published

2026-05-18

Issue

Early View

Section

ARTICLES FROM THIS ISSUE

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Copyright (c) 2026 Elbahdja Ourfella , Sabra Benkrinah, Naceur Aounallah

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
E. Ourfella, S. Benkrinah, and N. Aounallah, “Improving Performance of GNSS Acquisition Systems by Optimizing TM-CFAR Thresholds Using Metaheuristics”, JTIT, vol. 104, no. 2, May 2026, doi: 10.26636/jtit.2026.2.2518.