Decoding PPP Corrections From BDS B2b Signals Using a Software-Defined Receiver: An Initial Performance Evaluation

Lu, Xiushan; Chen, Liang; Shen, Nan; Wang, Lei; Jiao, Zhenhang; Chen, Ruizhi

doi:10.1109/jsen.2020.3041486

Cited by 36 publications

(16 citation statements)

References 14 publications

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“…A progress bar will be displayed during the transfer process. Click "Save Data" button to select an appropriate path and data format to save data [20] (5) Click the "Comprehensive Parameter Collection" button to perform steps 3 and 4 at one time to save operation steps (6) Select the monitoring time (hour) drop-down list box and wait for the corresponding time to perform steps 3 and 4. This step can be repeated automatically when the corresponding time is reached.…”

Section: Software Simulation Testmentioning

confidence: 99%

Construction of Intelligent Building Integrated Evaluation System Based on BIM Technology

Song¹

2022

Advances in Multimedia

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In order to alleviate the impact of the old bridge by the environment and its own life and the problem of increasing maintenance cost, the intelligent building integrated evaluation system based on BIM technology is proposed. Firstly, based on BIM technology, an all-weather hardware monitoring system is constructed by using multiple sensors laid on the bridge. The software communicates with the monitoring system through 5G public network and applies the unique advantages of deep neural network in classification to the assessment of the health status of old bridges with the help of the multiclassification convolutional neural network embedded in the software. The test results show that the preprocessed data is imported into the health diagnosis module for training, and the training accuracy reaches about 70%, and the loss curve is stable at about 0.5. Conclusion. The system meets the design requirements and solves the problem of difficult health diagnosis caused by long monitoring period and low efficiency of old bridges. The system has advantages of low difficulty in obtaining parameters, high precision, and accurate health assessment.

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Section: Software Simulation Testmentioning

confidence: 99%

Construction of Intelligent Building Integrated Evaluation System Based on BIM Technology

Song¹

2022

Advances in Multimedia

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“…4 below, the entire data is divided into 2n blocks. Then coherent integration is performed for each data block, as described in (8).…”

Section: Coherent Integrationmentioning

confidence: 99%

“…In addition, the GNSS signal is weak, it comes from 20,000 to 30,000 km away and is vulnerable to unintentional radio frequency interference or malicious interference (jamming and spoofing) (Chen et al 2017a;Jia et al 2018). Therefore, it is of great significance to enhance the reliability and positioning accuracy of GNSS by other means (Lu et al 2021). Many studies consider using Signals of Opportunity (SOP) for positioning when GNSS is unavailable or unreliable.…”

Section: Introductionmentioning

confidence: 99%

Signal acquisition of Luojia-1A low earth orbit navigation augmentation system with software defined receiver

Chen

Shen

et al. 2021

Geo-spatial Information Science

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Low Earth Orbit (LEO) satellite navigation signal can be used as an opportunity signal in the case of a Global Navigation Satellite System (GNSS) outage, or as an enhancement by means of traditional GNSS positioning algorithms. No matter which service mode is used, signal acquisition is a prerequisite for providing enhanced LEO navigation services. Compared with the medium orbit satellite, the transit time of the LEO satellite is shorter. Thus, it is of great significance to expand the successful acquisition time range of the LEO signal. Previous studies on LEO signal acquisition are based on simulation data. However, signal acquisition research based on real data is crucial. In this work, the signal characteristics of LEO satellites: power space density in free space and the Doppler shift of LEO satellites are individually studied. The unified symbolic definitions of several integration algorithms based on the parallel search signal acquisition algorithm are given. To verify these algorithms for LEO signal acquisition, a Software Defined Receiver (SDR) is developed. The performance of these integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite. The experimental results show that the integration strategy can expand the successful acquisition time range, and it will not expand indefinitely with the integration duration. The performance of the coherent integration and differential integration algorithms is better than the other two integration algorithms, so the two algorithms are recommended for LEO signal acquisition and a 20 ms integration duration is preferred. The detection threshold of 2.5 is not suitable for all integration algorithms and various integration durations, especially for the Maximum-to-Mean Ratio indicator.

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“…Some studies on the PPP-B2b have been carried out. Lu et al [24] developed a homemade receiver to collect the PPP-B2b messages and evaluated it. Xu et al [25] conducted an assessment of the quality of PPP-B2b products and investigated the PPP-B2b positioning.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Assessment of BDS-3 Real-time Precise Point Positioning Time Transfer Based on PPP-B2b Service

Tang

Lyu

Zeng

et al. 2022

Mathematical Problems in Engineering

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In 2020, users in and around China had access to a new real-time precise point positioning (RTPPP) service with the BeiDou global navigation satellite system (BDS-3) B2b (PPP-B2b) signal. In this study, the quality of PPP-B2b products is first assessed and compared with the CNAV1 broadcast ephemeris. Then a mode of BDS-3 PPP time transfer with PPP-B2b (B2b-RTPPP) is developed and evaluated in static and kinematic modes. The results demonstrate that the discontinuity of orbit is improved by applying the PPP-B2b, and its root mean square errors (RMSEs) are 0.081 m, 0.165 m, and 0.107 m in the radial, along-track, and cross-track components, respectively. The standard deviation (STD) of the PPP-B2b clock offset is 0.08 ns, greatly better than that of the broadcast clock offset. For time transfer, the type A uncertainty of the B2b-RTPPP solution is approximately 0.1 ns in static mode, and approximately 0.3 ns in kinematic mode. The B1I/B3I B2b-RTPPP time transfer solution performs better than the B1C/B2a solution. For frequency stability, the modified Allan deviation (MDEV) of the B2b-RTPPP solution is comparable to that of the post-processing solution. The B1C/B2a combination has better short-term frequency stability than B1I/B3I, while the long-term frequency stability of B1C/B2a is worse. In addition, the contribution of the differential code bias (DCB) to B2b-RTPPP time transfer is also investigated. The type A uncertainty of the B2b-RTPPP solution without DCB correction is worse than that of the B2b-RTPPP solution with DCB correction. The B1C/B2a B2b-RTPPP solution without DCB correction has better frequency stability than the B1I/B3I B2b-RTPPP solution.

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Decoding PPP Corrections From BDS B2b Signals Using a Software-Defined Receiver: An Initial Performance Evaluation

Cited by 36 publications

References 14 publications

Construction of Intelligent Building Integrated Evaluation System Based on BIM Technology

Construction of Intelligent Building Integrated Evaluation System Based on BIM Technology

Signal acquisition of Luojia-1A low earth orbit navigation augmentation system with software defined receiver

Modelling and Assessment of BDS-3 Real-time Precise Point Positioning Time Transfer Based on PPP-B2b Service

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