Smoothing Pseudorange Research Articles

Analysis of 5G Smart Communication Base Station Doppler-Smoothed Pseudorange Single-Point Geodesic Positioning Accuracy

With the continuous development of mobile communication and satellite navigation technologies, the positioning requirements of 5G smart communication base stations are becoming higher and higher. With the opening of GNSS raw observation data, research on the positioning of a 5G smart communication base station has become a research hotspot in the surveying and mapping disciplines. In this paper, based on the GNSS observation data of the 5G smart communication base station, the quality of the original GNSS observation data of the 5G smart communication base station is studied and analyzed. A method based on Doppler smoothing pseudorange solves the problem that the original pseudorange observation values of the 5G smart communication base station are noisy and prone to multipath errors due to the limitations of the base station chips and processes, which makes the traditional data processing methods unable to meet the demand for higher accuracy positioning. This method uses Doppler observations to smooth the pseudorange and determines the Doppler smoothing strategy and closure values to improve the data quality. The experimental data show that Doppler smoothing pseudorange can improve data quality and positioning accuracy by 67.9% in the E direction, 64.8% in the N direction, and 65.5% in the U direction. The future world will develop in the direction of intelligence, and the wireless network 5G technology used to support the construction of this intelligent system will become the core driver for the development of a leading intelligent society. 5G network signals have higher reliability and lower latency and can meet the specific needs of smart manufacturing, autonomous driving, and other industrial applications. This new base station product can meet the construction needs of future 5G base stations, adapt to the future intensive, miniaturized, intelligent station construction mode, and realize safe and fast station construction, providing the necessary hardware support for 5G network coverage.

Real-time detection and elimination method for BDS signal-in-space anomalies

The BeiDou navigation satellite system (BDS) signal-in-space anomaly is an important factor affecting the signal-in-space quality assessment. Detecting and excluding signal-in-space anomalies is not only a method for constructing a BDS signal-in-space fault model but can also help ensure the BDS navigation and positioning integrity. Traditional methods, based on post precision ephemeris and broadcast ephemeris, maintain some disadvantages, such as a large delay and a low sampling rate. In this paper, a carrier-phase smoothing pseudorange algorithm based on Kalman filtering is proposed, and a real-time estimation method of a BDS signal-in-space user range error is established to detect and eliminate signal-in-space anomalies in real time, based on the statistical characteristics of signal-in-space user range error. The experimental results, based on 1 Hz data of the international GNSS service (IGS) ground observation network, show that the proposed method has an estimation accuracy of 1.15 m for a BDS signal-in-space user range error, which can effectively identify signal-in-space anomalies caused by satellite orbit and clock faults.

Method for Optimizing Pseudo Code Ranging Accuracy by Carrier Observation

In view of the low precision of the pseudo code ranging, the carrier ranging and the ambiguity of the whole week, the observation is very difficult, a method using carrier smoothing pseudo range measurement is proposed. The method of using carrier phase measurement values to improve carrier ranging pseudo code ranging precision, and at the same time, pseudo code ranging can lock the auxiliary carrier phase, improve the efficiency and accuracy of carrier phase observation, meet the requirement of real-time system. In the end of the paper, the simulation results show the improvement of the carrier smoothing pseudo range to the pseudo range observation.

Phase Smoothing Pseudorange Differential Correction Improved Algorithm in GBAS

Phase Smoothing Pseudorange Differential Correction Improved Algorithm in GBAS

Comparison between CNMC and hatch filter & its precision analysis for BDS precise relative positioning

Phase smoothing Pseudorange can effectively suppress the multipath effect on pseudorange, and there is no ambiguity problem, which has been widely studied and applied in the field of GNSS data processing. This paper made a systematic analysis and comparison of mathematical models for Hatch filter and CNMC phase smoothing pseudorange method. The ionsphere free combination of single frequency pseudorange through CNMC algorithm is proved equivalence with dual frequency hatch filter. On the assumption that there exists only random errors and the various measurements are independent, the accuracy expression of the CNMC method for smoothing pseudorange is deduced. Dual band hatch filter in the initialization period observation noise is bigger than CNMC smoothed pseudorange, but after a bit more than ten minutes, observation noise gradually gets better than CNMC smoothed pseudorange. BDS navigation system is qualified with serious and low-frequency characteristic for multipath errors through the comparison of OMC of double difference observation for real BDS short baseline, the conclusion that the phase smoothing pseudorange algorithm can greatly weaken the random error of original pseudorange, however, cant improve the system error is drawn. The system error of pseudorange smoothed by CNMC is at the save level with the original pseudorange, but the system error of pseudorange smoothed by double frequency hatch filter is increased. At last, relative positioning is carried through using the different kinds of phase smoothed pseudorange of that short baseline. The positioning results show that the positioning precision is improved from 0.797 m to 0.541 m using pseudorange smoothed by CNMC and the positioning precision is decreased to 1.160 m using pseudorange smoothed by hatch filter.