Cooperative D-GNSS Aided with Multi Attribute Decision Making Module: A Rigorous Comparative Analysis

Satellite positioning lies within the very core of numerous Intelligent Transportation Systems (ITS) and Future Internet applications. With emergence connected vehicles, performance requirements Global Navigation (GNSS) are constantly pushed to their limits. To this end, Cooperative Positioning (CP) solutions have attracted attention in order enhance accuracy reliability low-cost GNSS receivers, especially complex propagation environments. In paper, problem efficient robust CP employing receivers is investigated over critical ITS scenarios. By adopting a Cooperative-Differential (C-DGNSS) framework, target’s vehicle receiver can obtain Position–Velocity–Time (PVT) corrections from neighboring update its own position real-time. A ranking module based on multi-attribute decision-making (MADM) algorithms proposed for rating optimal selection. The considered MADM techniques simulated with various weightings, normalization techniques, criteria associated reliability. obtained values experimental measurements several receivers. comparative sensitivity analysis provided by evaluating terms robustness. data time series numerical results then presented, comments made. Scoring-based distance-based methods perform better, while L1 RMS, HDOP, Hz std most criteria. multi-purpose applicability scheme, not only land also discussed.