A Geometry-Based Deterministic Framework for Directional Antenna Alignment in Digital Terrestrial Television

This study presents a deterministic geospatial methodology for the alignment of directional television receiving antennas using publicly available broadcast-sector parameters. The proposed approach relies exclusively on geometric computations derived from user geolocation (WGS84 coordinates) and transmitter site information, including sector azimuth and beamwidth characteristics. By computing the geodesic bearing between receiver and transmitter locations, the method evaluates angular deviation relative to sector orientation and provides an interpretable alignment assessment framework. The methodology operates without requiring empirical signal measurements, propagation modeling, or machine-learning techniques, thereby ensuring transparency, reproducibility, and low computational complexity. The approach is particularly suitable for scenarios where line-of-sight conditions dominate signal propagation. Under such assumptions, the proposed framework offers a lightweight and explainable solution for antenna pointing and orientation guidance while explicitly acknowledging the limitations imposed by simplified geometric modeling.

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Publication Details

Journal
Applied Sciences
Published
2026-04-06
DOI
https://doi.org/10.3390/app16073561
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

A Geometry-Based Deterministic Framework for Directional Antenna Alignment in Digital Terrestrial Television

Konstantinos Zarkadas, George Dimitrakopoulos
Applied Sciences
Advanced MIMO Systems Optimization
article

A Geometry-Based Deterministic Framework for Directional Antenna Alignment in Digital Terrestrial Television

Konstantinos Zarkadas, George Dimitrakopoulos
article en

Abstract

This study presents a deterministic geospatial methodology for the alignment of directional television receiving antennas using publicly available broadcast-sector parameters. The proposed approach relies exclusively on geometric computations derived from user geolocation (WGS84 coordinates) and transmitter site information, including sector azimuth and beamwidth characteristics. By computing the geodesic bearing between receiver and transmitter locations, the method evaluates angular deviation relative to sector orientation and provides an interpretable alignment assessment framework. The methodology operates without requiring empirical signal measurements, propagation modeling, or machine-learning techniques, thereby ensuring transparency, reproducibility, and low computational complexity. The approach is particularly suitable for scenarios where line-of-sight conditions dominate signal propagation. Under such assumptions, the proposed framework offers a lightweight and explainable solution for antenna pointing and orientation guidance while explicitly acknowledging the limitations imposed by simplified geometric modeling.

Applied SciencesVol. 16(7)
Harokopio University of Athens (GR)
Openalex Percentile: Top 32%
Advanced MIMO Systems Optimization
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A Geometry-Based Deterministic Framework for Directional Antenna Alignment in Digital Terrestrial Television — Konstantinos Zarkadas, George Dimitrakopoulos · Applied Sciences (2026) | TGRS Research Map | TGRS