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On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact

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Abstract

High-precision single-receiver positioning requires the provision of reliable network-derived corrections. Care must therefore be exercised to continuously check the quality of the corrections and to detect the possible presence of mis-modeled biases in the network data. In network-RTK or its state-space implementation, PPP-RTK, quality control of the solutions is executed in two separate phases: the network component and the user component. Once confidence in the network-derived solutions is declared, a subset of the solutions is sent as corrections to a single-receiver user, thereby allowing the user to separately check the integrity of his network-aided model. In such a two-step integrity monitoring procedure, an intermediate step is missing, the integrity monitoring of the corrections themselves. It is the goal of this contribution to provide a quality control procedure for GNSS parameter solutions at the correction level, and to measure the impact a missed detection bias has on the (ambiguity-resolved) user position. New detection test statistics are derived with which the single-receiver user can check the overall validity of the corrections even before applying them to his data. A small-scale network of receivers is utilized to provide numerical insights into the detectability of mis-modeled biases using the proposed detectors and to analyze the impact of such biases on the user positioning performance.

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Acknowledgements

This work is supported by the Australian Research Council (ARC) Project No. DP170103341.

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Correspondence to Amir Khodabandeh.

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Khodabandeh, A., Wang, J., Rizos, C. et al. On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact. GPS Solut 23, 73 (2019). https://doi.org/10.1007/s10291-019-0863-x

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