Method Proposal and Performance Analysis of GPS Collaborative Navigation for Operation of Hybrid Type Unmanned Vehicles
Hyo-Jeong Seok, Cheol-soon Lim
Recently researches are being actively carried out for the utilization of Hybrid-Type unmanned vehicles. Hybrid-Type unmanned vehicles can be more efficient than common (single) unmanned vehicles because it is possible to secure a wide operating radius and each vehicle perform various tasks simultaneously. In this case, it is generally assumed that each entity of the hybrid-type unmanned vehicle can independently calculate its position using the Global Positioning System (GPS) and accurately estimate the position of other vehicle in the group. At this time, the accuracy of the positioning results may be degraded due to the influence of the unmanned vehicle’s operating environment (eg downtown, forest of jungle) (Quebe et al. 2010). In this paper, we have set up scenario that assumes that each vehicle of hybrid-type unmanned vehicle is equipped with a ‘Collaborative GPS receiver’ capable of communicating pseudo-range, relative position and clock error. Through this assuming, we propose a ‘GPS cooperative navigation’ method that enables each entity of the hybrid-type unmanned vehicles to perform more stable mission in the blocked area of GPS (Huang et al. 2016). And we perform matlab simulations about analysis of positioning accuracy and Dilution of Precision (DOP) using that algorithms. In the way of this research, it was confirmed that even if a vehicle does not have enough GPS visible satellites, it can be positioned by ‘cooperative-navigation’ with other vehicles, In addition, it can be confirmed that the cooperative-navigation results are more accurate than the GPS stand-alone positioning (Huang et al. 2014). As a result, we confirmed the feasibility of cooperative-navigation method which can improve positioning accuracy through mutual cooperation without environments limitations, In addition, it is expected that it will contribute to the expansion of the mission area and stability of operation of unmanned vehicles in the future.
Keywords: hybrid type unmanned vehicles, GPS, collaborative navigation, availability. DOP performance
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