Performance Analysis of Propagation in VHF Military Tactical Communication System

Autor: Azita Laily Yusof, Hafizi Halim, Norsuzila Ya'acob, Nur Haidah Mohd Hanapiah
Jazyk: Arabic<br />English
Rok vydání: 2021
Předmět:
Zdroj: Baghdad Science Journal, Vol 18, Iss 4(Suppl.) (2021)
Druh dokumentu: article
ISSN: 2078-8665
2411-7986
DOI: 10.21123/bsj.2021.18.4(Suppl.).1378
Popis: The main challenge of military tactical communication systems is the accessibility of relevant information on the particular operating environment required for the determination of the waveform's ideal use. The existing propagation model focuses mainly on broadcasting and commercial wireless communication with a highs transceiver antenna that is not suitable for numerous military tactical communication systems. This paper presents a study of the path loss model related to radio propagation profile within the suburban in Kuala Lumpur. The experimental path loss modeling for VHF propagation was collected from various suburban settings for the 30-88 MHz frequency range. This experiment was highly affected by ecological factors and existing wave propagation effects such as reflection, diffraction, scattering, and Doppler effect. Radio propagation performance is evaluated by collecting received power at the allocated substation and comparing it against existing propagation models. The existing propagation model also will be tuned close to the measurement value by identifying the best path loss exponent to perform a suitable model for a suburban area. Theoretical assessments and analysis of the initial measurement stage for radio propagation show the extensive contribution of radio field from potential obstacles at lower VHF frequencies for both short and medium ranges around there. The explanation indicates the standard radio propagation prediction models that are generally reasonable for the suburban area. From the general error analysis, it is seen that, the performance of the LDPL with adjusting path loss exponent is the suitable model since it has least value of error metrics.
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