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Feng Zhou

Researcher at Shandong University of Science and Technology

Publications -  35
Citations -  896

Feng Zhou is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Precise Point Positioning & GNSS applications. The author has an hindex of 13, co-authored 32 publications receiving 559 citations. Previous affiliations of Feng Zhou include University of Potsdam & China University of Mining and Technology.

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Journal ArticleDOI

GAMP: An open-source software of multi-GNSS precise point positioning using undifferenced and uncombined observations

TL;DR: A new GNSS analysis software called GAMP (GNSS Analysis software for Multi-constellation and multi-frequency Precise positioning), which can perform multi-GNSS precise point positioning based on undifferenced and uncombined observations is developed.
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Influence of stochastic modeling for inter-system biases on multi-GNSS undifferenced and uncombined precise point positioning

TL;DR: Generally, the positioning performance of PPP in terms of convergence time and positioning accuracy with the final products from CODE, CNES, and WHU is comparable among the three ISB handling schemes, however, estimating ISBs as random walk process or white noise process outperforms that as the random constant when using the GFZ products.
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Galileo PPP rapid ambiguity resolution with five-frequency observations

Abstract: Galileo, transmitting signals on the five frequencies E1, E5a, E5b, E5 and E6, has completed the fundamental constellation with 26 satellites and now can provide the global positioning service independently. Multi-frequency (triple-frequency or above) signals allow a variety of combinations on different frequencies, which has the potential to improve the performance of the precise point positioning (PPP) ambiguity resolution (AR). We developed a multi-frequency PPP AR method to make use of the Galileo five-frequency observations. The stable multi-frequency uncalibrated phase delay (UPD) products of Galileo were estimated first. It is interesting to find that the extra-wide-lane (EWL) UPDs on the E5a/E5b, E5a/E5 and E5/E5b combined frequencies are very close to zero. With the obtained UPD products, the Galileo triple-, quad- and five-frequency PPP AR was conducted. Triple-frequency PPP AR with different frequency combinations can improve the positioning accuracy of 30 min by 36.6–86.8% compared with float solutions, and 2.3–62.5% compared with dual-frequency PPP AR. Among the five types of frequency combinations, the triple-frequency PPP AR on E1/E5/E6 frequencies shows the best positioning performance with the averaged convergence time shortened to 16.9 min. Furthermore, the averaged convergence time is 15.3 min and 15.0 min for quad- and five-frequency PPP AR, respectively. Compared with the time to first fix (TTFF) of 19.9 min for narrow-lane ambiguity resolution with dual-frequency observations, the TTFF is only shortened by about 1 min with multi-frequency observations. It is beneficial that the EWL and wide-lane (WL) ambiguities can be fixed to integers instantaneously, and the decimeter-level positioning accuracy can be achieved within 0.5 min by utilizing triple-/quad-/five-frequency PPP wide-lane AR (WAR). Moreover, the positioning accuracy of the first epoch derived from Galileo five-frequency PPP WAR is (0.112, 0.144, 0.641) m in the east, north and up components, which has an improvement of 2.1–42.0% compared to triple-/quad-frequency PPP WAR.
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Simultaneous estimation of GLONASS pseudorange inter-frequency biases in precise point positioning using undifferenced and uncombined observations

TL;DR: Overall, the scheme of estimating IFBs for each GLonASS satellite outperforms the other schemes in both convergence time reduction and positioning accuracy improvement, which indicates that the GLONASS IFBs may not strictly obey a linear or quadratic function relationship with the frequency number.
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Enhancing real-time precise point positioning time and frequency transfer with receiver clock modeling

TL;DR: A receiver clock offset model is presented that considers the correlation of the receiver clock offsets between adjacent epochs using an a priori value and concludes that all RT-PPP solutions with different real-time products are capable of time transfer.