Optimal Divergence-Free Hatch Filter for GNSS Single-Frequency Measurement
نویسندگان
چکیده
The Hatch filter is a code-smoothing technique that uses the variation of the carrier phase. It can effectively reduce the noise of a pseudo-range with a very simple filter construction, but it occasionally causes an ionosphere-induced error for low-lying satellites. Herein, we propose an optimal single-frequency (SF) divergence-free Hatch filter that uses a satellite-based augmentation system (SBAS) message to reduce the ionospheric divergence and applies the optimal smoothing constant for its smoothing window width. According to the data-processing results, the overall performance of the proposed filter is comparable to that of the dual frequency (DF) divergence-free Hatch filter. Moreover, it can reduce the horizontal error of 57 cm to 37 cm and improve the vertical accuracy of the conventional Hatch filter by 25%. Considering that SF receivers dominate the global navigation satellite system (GNSS) market and that most of these receivers include the SBAS function, the filter suggested in this paper is of great value in that it can make the differential GPS (DGPS) performance of the low-cost SF receivers comparable to that of DF receivers.
منابع مشابه
Design of a Single-Frequency Filter that Minimizes Ionosphere Divergence Error
This paper optimizes a GPS smoothing filter to minimize biases caused by ionosphere divergence during anomalous storms. Ionospheric storms represent the most severe threat to high-integrity differential GPS systems, such as Ground-Based Augmentation Systems (GBAS). Substituting the optimized filter for the Hatch Filter typically used in GBAS reduces ionosphere divergence bias by over 10% for a ...
متن کاملTightly-Coupled Integration of Multi-GNSS Single-Frequency RTK and MEMS-IMU for Enhanced Positioning Performance
Dual-frequency Global Positioning System (GPS) Real-time Kinematics (RTK) has been proven in the past few years to be a reliable and efficient technique to obtain high accuracy positioning. However, there are still challenges for GPS single-frequency RTK, such as low reliability and ambiguity resolution (AR) success rate, especially in kinematic environments. Recently, multi-Global Navigation S...
متن کاملHigh-Accuracy Positioning in Urban Environments Using Single-Frequency Multi-GNSS RTK/MEMS-IMU Integration
The integration of Global Positioning System (GPS) real-time kinematics (RTK) and an inertial navigation system (INS) has been widely used in many applications, such as mobile mapping and autonomous vehicle control. Such applications require high-accuracy position information. However, continuous and reliable high-accuracy positioning is still challenging for GPS/INS integration in urban enviro...
متن کاملImproving Pseudorange Estimation in GNSS Receivers with a Recursive Bayesian Approach
A Global Navigation Satellite System (GNSS) receiver provides essentially two independent measurements of pseudorange through the estimation of code delay and carrier phase. Although the code delay estimate is an absolute (unambiguous) measurement its accuracy is hindered by noise; on the contrary, the phase estimate has, in general, better accuracy but is ambiguous. The Hatch filter has been u...
متن کاملMEMS IMU Based INS/GNSS Integration: Design Strategies and System Performance Evaluation
Application of MEMS sensor in navigation is increasingly becoming important due to its advantages in terms of the quickly improving precision, robustness, high dynamic response and lower costs of development and usage. Moreover by employing the optimal estimation technique of Kalman filtering, the performance of MEMS based INS has been greatly enhanced by the integration of GNSS. This paper foc...
متن کامل