Transactions of Nanjing University of Aeronautics & Astronautics
Model of Autonomous Positioning Through AssociatingEnvironment Memory Information
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Abstract:
A model of autonomous positioning through associating environment memory information is presented for unmanned combat aerial vehicle (UCAV). The representation strategy of environment by constructing place cells is used to produce the memory information, and the landmarks in memory are retrieved through perceiving and processing the environment. During UCAV′s flight, the landmarks are obtained in real-time and are matched with the landmarks in memory. Then, the idea of ranging positioning is adopted to calculate UCAV′s location based on the corresponding relationship between current obtained landmarks and the memorized landmarks. Simulation shows that the proposed model can realize autonomous positioning in the memorized environment, and the positioning performance is well when the sensor has a high precision.
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