One-step correction strategy for BDS-2/BDS-3 satellite observation code bias and multipath delay

Hu, Chao; Wang, Zhongyuan; Rao, Pengwen; Cheng, Thomas C.

doi:10.1007/s40328-020-00327-z

Cited by 7 publications

(21 citation statements)

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“…To overcome the effects of the observation noise and series length in modeling BDS-3 multipath delays, sparse modeling from the field of machine learning [27] is adopted to optimize and process the series of BDS-3 multipath errors (raw code multipath delays for each satellite with continuous ambiguity calculated by equations (1) and ( 2)). In this research, based on the continuous tracking of satellites, the multipath delays of different BDS-3 code observations are first estimated using a combination of two frequencies as [2].…”

Section: Modeling Bds-3 Code Multipath Delaysmentioning

confidence: 99%

“…where e i is the ith elevation of the satellite, Y k denotes the code multipath delays after processing with equations (1)- (7), and Bðe i Þ and Rðe i Þ are functions of systematic and random parts, respectively. Traditionally, the systematic part is modeled with a polynomial function, where a secondorder function is used to process the BDS code multipath delays [2]. The random part can be expressed as an autoregressive (AR) model.…”

Section: Integrated Modeling Of Bds-3 Code Multipath Delaysmentioning

confidence: 99%

“…Global navigation satellite systems (GNSSs) provide allweather and continuous services to global users in the area of high-precision spatial information. China has developed the BeiDou Navigation Satellite System (BDS) in a threestep strategy involving a verification system (BDS-1), regional system (BDS-2), and global system (BDS-3) [1,2]. BDS-3 was officially announced to be operational in 2020, representing a shift in the BDS from regional to global services [3].…”

Section: Introductionmentioning

confidence: 99%

“…In summary, the quality of BDS-3 satellite observations is better than that of traditional BDS-2 satellite observations [16]. However, the results of experiments on BDS-3 code multipath delays suggest that there is a trend term in the code observations [2]. Therefore, to mitigate BDS-3 code multipath delays, methods of modeling BDS-3 multipath delays need to be studied for highprecision applications.…”

Section: Introductionmentioning

confidence: 99%

“…Notably, new signals and their modulation and multiplexing techniques are used for BDS-3 satellites. However, widely used strategies for BDS code multipath delays focus on BDS-2 observations, for example, a two-step modeling method, which first models the multipath delay and then the code bias [2], cannot be applied to BDS-3. Owing to differences in the signal characteristics, signal numbers, signal quality, and satellite spatial distributions between BDS-2 and BDS-3, BDS-3 observations should be carefully investigated when using multiple frequencies.…”

Section: Introductionmentioning

confidence: 99%

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Improved Mitigation Method for the Multipath Delays of BDS‐3 Code Observations with the Aid of a Sparse Modeling Algorithm

Wang

Moraleda

2021

Journal of Sensors

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Global navigation satellite systems are essential for positioning, navigation, and timing services. The quality and reliability of satellite observations determine the system performance, especially in the case of the newly launched global BDS-3 service. However, analyses of multipath delays in BDS-3 satellite observations suggest that there are appreciable errors at different frequencies. Improvement of the accuracy and precision of positioning, navigation, and timing services provided by BDS-3 requires the mitigation of multipath delays of the satellite observations. This paper models the multipath delays of BDS-3 observations using a least-squares combined autoregressive method. Furthermore, a sparse modeling algorithm is proposed to obtain a multipath delay series using total variation and elastic net terms for denoising and eliminating the effect of limited original observations. The estimated coefficients of multipath delays are then set as prior information to correct the next-arc code observations, where the square-root information filter is used in the coefficient estimation. Moreover, four groups of experiments are conducted to analyze the results of modeling the BDS-3 multipath delay using the proposed methods, with single-frequency precise point positioning (PPP) and real-time PPP solutions being selected to test the correction of multipath delays in BDS-3 code observations. The residuals of iGMAS and MGEX station coordinates indicate improvements in eastward, northward, and upward directions of at least 4.1%, 9.6%, and 1.2%, respectively, for the frequency B1I; 6.6%, 5.3%, and 0.2%, respectively, for B3I, 12.5%, 14.3%, and 3.8%, respectively, for B1C; and 5.9%, 7.4%, and 18.1%, respectively, for B2a relative to the use of the traditional method in BDS-3 single-frequency PPP. Furthermore, the real-time double-frequency PPP is optimized by at least 10% for B 1 I + B 3 I and B 1 C + B 2 a . An improved result was obtained with the proposed strategy in a standard point positioning experiment. The proposed multipath delay mitigation method is therefore effective in improving BDS-3 satellite code observations.

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Section: Modeling Bds-3 Code Multipath Delaysmentioning

confidence: 99%

Section: Integrated Modeling Of Bds-3 Code Multipath Delaysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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