Title:

Improving Performance of GNSS Acquisition Systems by Optimizing TM-CFAR Thresholds Using Metaheuristics, Journal of Telecommunications and Information Technology, 2026, nr 2

Group publication title:

2026, nr 2, JTIT-artykuły

Creator:

Ourfella, Elbahdja ; Benkrinah, Sabra ; Aounallah, Naceur

Subject and Keywords:

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

Description:

kwartalnik

Abstrakt:

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.

Volume:

104

Number:

2

Publisher:

National Institute of Telecommunications

Date:

2026, nr 2

Resource Type:

artykuł

DOI:

10.26636/jtit.2026.2.2518

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

License:

CC BY 4.0

rights owner:

Biblioteka Naukowa Instytutu Łączności