Abstract
This article presents an approach to tackle navigation challenges for unmanned aircraft systems flying under non-nominal GNSS coverage. The concept used to improve navigation performance in these environments consists of using one or more cooperative platforms and relative sensing measurements (based on vision and/or ranging) to the navigation aid. The article details the cooperative navigation filter, which can exploit multiple cooperative platforms and multiple relative measurements while also using the partial GNSS information. The achievable navigation accuracy can be predicted using the concept of “generalized dilution of precision,” which derives from applying the idea of the dilution of precision to the mathematical structure of the cooperative navigation filter. The values and trends of generalized dilution of precision are discussed as a function of the relative geometry in common GNSS-challenging scenarios. Finally, navigation performance is assessed based on simulations and multidrone flight tests.
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