In environments like urban canyons, tunnels, and indoors, the performance of Global Navigation Satellite Systems (GNSS) is significantly degraded. Pseudolites, which transmit signals similar to GNSS, can provide posit...
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In environments like urban canyons, tunnels, and indoors, the performance of Global Navigation Satellite Systems (GNSS) is significantly degraded. Pseudolites, which transmit signals similar to GNSS, can provide positioning, navigation, and timing services tailored for GNSS-constrained areas. The layout of the pseudolite system is crucial for accurate positioning, as it defines the geometric arrangement of the pseudolites. This paper introduces a fast pseudolite layout algorithm based on rotatingpartition (F-RPA). Unlike the exhaustive search method, F-RPA partitions the deployment area and places pseudolites based on contribution values within each partition. By rotating through all possible angles, F-RPA identifies the layout with the optimal weighted horizontal dilution of precision (HDOP). Simulation results show that F-RPA produces the same layout schemes as the exhaustive method while significantly reducing layout time. In scenarios of complete pseudolite deployment and supplementary deployment in the event of pseudolite failures, F-RPA reduces layout time by 90.95% and 92.00% compared to the genetic algorithm, respectively, demonstrating its efficiency. F-RPA is well-suited for rapid pseudolite deployment in GNSS-restricted environments, improving positioning reliability and precision. This makes it ideal for applications in intelligent transportation systems, national defense, and other fields that demand accurate positioning services.
To achieve fast satellite selection for a multi-Global Navigation Satellite System (GNSS), thereby reducing the burden on a receiver's processing element and the cost of hardware, and improving the utilisation rat...
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To achieve fast satellite selection for a multi-Global Navigation Satellite System (GNSS), thereby reducing the burden on a receiver's processing element and the cost of hardware, and improving the utilisation ratio of receiver signal channels, the relationship between the number of satellites and Geometric Dilution Of Precision (GDOP), the number of satellites selected and the computation time is analysed. A fast rotating partition algorithm for satellite selection based on equal distribution of the sky is proposed. The algorithm divides the satellite selection process into two parts: rough selection and detailed selection. Unhealthy satellites, according to a health identifier, and low elevation angle satellites with a large troposphere delay are eliminated during the rough selection process. During the detailed satellite selection process, the satellite sky is divided and rotated to match satellites based on the average angle distance between the satellite and central partition line. Static data from the International GNSS Service (IGS) station and dynamic data collected at China University of Mining and Technology were used to verify the algorithm, and the results demonstrated that an inverse matrix could be avoided to reduce computation complexity. Additionally, the new satellite selection algorithm has the merit that there is little effect on the computation when the selected satellites and number of satellites in the field increased. A single system of the Global Positioning System (GPS) and double system of GPS/Globalnaya Navigazionnaya Sputnikovaya Sistema (GLONASS) both passed the hypothesis test for each epoch. By including BeiDou Navigation Satellite System (BDS) data, data utilisation increased to more than 95% using the rotating partition algorithm. Also, the GDOP and positioning performance of a rotating partition algorithm and an optimal Dilution Of Precision (DOP) algorithm are compared in this paper, and the analysis result shows that both of the a
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