<p>Dilution of Precision (DOP) plays a critical role in the performance of Global Navigation Satellite Systems (GNSS), directly influencing the accuracy of position estimation. DOP is a unitless factor that quantifies the impact of satellite geometry on positional uncertainty; it essentially magnifies potential errors based on the spatial arrangement of visible satellites relative to the receiver. It is commonly categorized into Horizontal DOP (HDOP), Vertical DOP (VDOP), and Position DOP (PDOP), each corresponding to specific dimensions of positional accuracy. A lower DOP value reflects well-distributed satellites in the sky and results in more precise positioning, while higher DOP values indicate poor geometry and degraded accuracy. These DOP values are fundamental to various GNSS applications, including navigation, vehicle tracking, precision agriculture, surveying, aviation, and autonomous systems. This study investigates the effect of satellite geometry in a multi-GNSS environment, particularly focusing on the combined use of GPS and NavIC constellations. The analysis is carried out over a defined period, assessing various DOP components. The results demonstrate that the integration of GPS with NavIC significantly improves satellite geometry and enhances overall positioning accuracy.</p>

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Dilution of precision analysis over the Visakhapatnam region: a GPS &NavIC combined scenario

  • Modhini Buri,
  • V. B. S. Srilatha Indira Dutt

摘要

Dilution of Precision (DOP) plays a critical role in the performance of Global Navigation Satellite Systems (GNSS), directly influencing the accuracy of position estimation. DOP is a unitless factor that quantifies the impact of satellite geometry on positional uncertainty; it essentially magnifies potential errors based on the spatial arrangement of visible satellites relative to the receiver. It is commonly categorized into Horizontal DOP (HDOP), Vertical DOP (VDOP), and Position DOP (PDOP), each corresponding to specific dimensions of positional accuracy. A lower DOP value reflects well-distributed satellites in the sky and results in more precise positioning, while higher DOP values indicate poor geometry and degraded accuracy. These DOP values are fundamental to various GNSS applications, including navigation, vehicle tracking, precision agriculture, surveying, aviation, and autonomous systems. This study investigates the effect of satellite geometry in a multi-GNSS environment, particularly focusing on the combined use of GPS and NavIC constellations. The analysis is carried out over a defined period, assessing various DOP components. The results demonstrate that the integration of GPS with NavIC significantly improves satellite geometry and enhances overall positioning accuracy.