Performance Assessment of Positioning Based on Multi-Frequency Multi-GNSS Observations: Signal Quality, PPP and Baseline Solution

Bu, Jinwei; Yu, Kegen; Qian, Nijia; Zuo, Xiaoqing; Chang, Jun

doi:10.1109/access.2020.3048352

Cited by 18 publications

(13 citation statements)

References 48 publications

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“…Lastly, Legendre sequence-based codes show excellent correlation characteristics, and they have recently been used in GPS L1C and BDS B1C signals. As the fields of the application of the GNSS have expanded along with the recent development of the industries, studies to provide high precision and additional functions of GNSS receivers have been extensively conducted [8][9][10][11][12][13][14][15][16][17]. In addition to the simple role of receiving signals and performing navigation calculations, advanced signal technologies, such as anti-jamming [8] and anti-spoofing [9], are applied, and studies on multiconstellation and multi-frequency receivers [10][11][12] are being conducted for high-precision high-reliability location calculations.…”

Section: ]mentioning

confidence: 99%

“…As the fields of the application of the GNSS have expanded along with the recent development of the industries, studies to provide high precision and additional functions of GNSS receivers have been extensively conducted [8][9][10][11][12][13][14][15][16][17]. In addition to the simple role of receiving signals and performing navigation calculations, advanced signal technologies, such as anti-jamming [8] and anti-spoofing [9], are applied, and studies on multiconstellation and multi-frequency receivers [10][11][12] are being conducted for high-precision high-reliability location calculations. Especially, studies on single code generators that support various codes are actively conducted for the implementation of multi-constellation and multi-frequency receivers so that single receivers can support multiple codes [13][14][15][16][17].…”

Section: ]mentioning

confidence: 99%

“…Especially, studies on single code generators that support various codes are actively conducted for the implementation of multi-constellation and multi-frequency receivers so that single receivers can support multiple codes [13][14][15][16][17]. As shown in Table 1, since LFSR-based code generation is the most widely applied, studies on LFSR-based codes have been steadily conducted [10][11][12][13]. According to one study [13], many LFSR-based PRN codes can be generated using a single LFSR structure.…”

Section: ]mentioning

confidence: 99%

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Area-Efficient Universal Code Generator for GPS L1C and BDS B1C Signals

Park

Kim

et al. 2021

Electronics

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Recently, multi-frequency multi-constellation receivers have been actively studied, which are single receivers that process multiple global navigation satellite system (GNSS) signals for high accuracy and reliability. However, in order for a single receiver to process multiple GNSS signals, it requires as many code generators as the number of supported GNSS signals, and this is one of the problems that must be solved in implementing an efficient multi-frequency multi-constellation receiver. This paper proposes an area-efficient universal code generator that can support both GPS L1C signals and BDS B1C signals. The proposed architecture alleviates the area problem by sharing common hardware in a time-multiplex mode without degrading the overall system performance. According to the result of the synthesis using the CMOS 65 nm process, the proposed universal code generator has an area reduced by 98%, 93%, and 60% compared to the previous memory-based universal code generator (MB UCG), the Legendre-generation universal code generator (LG UCG), and the Weil-generation universal code generator (WG UCG), respectively. Furthermore, the proposed generator is applicable to all Legendre sequence-based codes.

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Section: ]mentioning

confidence: 99%

Section: ]mentioning

confidence: 99%

Section: ]mentioning

confidence: 99%

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Area-Efficient Universal Code Generator for GPS L1C and BDS B1C Signals

Park

Kim

et al. 2021

Electronics

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“…The most accurate position data can be computed using differential GNSS processing techniques when correction data from GNSS receiver with known position is available in close proximity to the one being computed (short baseline) (Wirz et al,205 2013; Bu et al, 2021). For the chosen approach using single frequency GNSS receivers a short baseline on the order of hundreds of meters to max.…”

Section: Local Geodetic Networkmentioning

confidence: 99%

Kinematic observations of the mountain cryosphere using in-situ GNSS instruments

Beutel

Biri

Buchli

et al. 2021

Preprint

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Abstract. Permafrost warming is coinciding with accelerated mass movements, talking place especially in steep, mountainous topography. While this observation is backed up by evidence and analysis of both remote sensing as well as repeat terrestrial surveys undertaken since decades much knowledge is to be gained about the specific details, the variability and the processes governing these mass movements in the mountain cryosphere. This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 m a.s.l and comprises 209’948 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. To date this dataset has seen numerous use cases in research as well as natural-hazard mitigation and adaptation due to climate change.

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“…Wang and Hong et al [ 29 , 30 ] compared the performance of low-cost single-frequency precise point positioning (SFPPP), starting from the aspects of positioning accuracy and convergence speed, but only the single-frequency model was considered. Some scholars have studied the performance of PPP from the orbital clock products provided by IGS [ 31 ] and the combination of multi-frequency PPP and multi-system PPP [ 32 , 33 ], but the analysis focused on more the combination PPP of B1I and B3I frequencies, and focused less on the analysis of B1C and B2a frequencies PPP. Zhu et al [ 34 ] simply analyzed the positioning performance of B1C and B2a from static PPP, but did not conduct a comprehensive analysis of PPP.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Precise Point Positioning for BeiDou-3 B1c/B2a Signals in the Global Range

Wang

Yang

Wang

et al. 2021

Sensors

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With the construction and development of the BeiDou navigation satellite system (BDS), the precise point positioning (PPP) performance of the BDS is worthy of research. In this study, observational data from 17 stations around the world across 20 days are used to comprehensively evaluate the PPP performance of BDS B1c/B2a signals. For greater understanding, the results are also compared with the Global Positioning System (GPS) and BDS PPP performance of different signals and system combinations. The evaluation found root mean square (RMS) values of the static PPP in the north (N), east (E), and upward (U) components, based on the B1c/B2a frequency of BDS-3, to be 6.9 mm, 4.7 mm, and 26.6 mm, respectively. Similar to the static positioning, the RMS values of kinematic PPP in the three directions of N, E, and U are 2.6 cm, 6.0 cm, and 8.5 cm, respectively. Besides this, the static PPP of BDS-3 (B1cB2a) and BDS-2 + BDS-3 (B1IB3I) have obvious system bias. Compared with static PPP, kinematic PPP is more sensitive to the number of satellites, and the coordinate accuracy in three dimensions can be increased by 27% with the combination of GPS (L1L2) and BDS. Compared with BDS-2+BDS-3 (B1IB3I), the convergence time of BDS-3 (B1CB2a) performs better in both static and kinematic modes. The antenna model does not show a significant difference in terms of the effect of the convergence speed, though the number of satellites observed has a certain influence on the convergence time.

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Performance Assessment of Positioning Based on Multi-Frequency Multi-GNSS Observations: Signal Quality, PPP and Baseline Solution

Cited by 18 publications

References 48 publications

Area-Efficient Universal Code Generator for GPS L1C and BDS B1C Signals

Area-Efficient Universal Code Generator for GPS L1C and BDS B1C Signals

Kinematic observations of the mountain cryosphere using in-situ GNSS instruments

Performance Evaluation of Precise Point Positioning for BeiDou-3 B1c/B2a Signals in the Global Range

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