Performance Analysis for BDS Phase-smoothed Pseudorange Differential Positioning

Tang, Wei; Cui, Jianhui; Hui, Mengtang; Deng, Chenlong

doi:10.1017/s0373463315001101

Cited by 13 publications

(11 citation statements)

References 13 publications

(17 reference statements)

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“…Subtracting the nominal IF (3·563 MHz) from the NCO frequency, we get the Doppler measurements, and these Doppler measurements do not fluctuate around zero. One of the outputs of the PLL is the integrated Doppler, which can be used in carrier phase- or Doppler-smoothed code pseudorange applications (Bahrami and Ziebart, 2011; Tang et al, 2016). The integrated Doppler d ϕ k at epoch k is calculated as: where f d ( t ) is the Doppler measurements.…”

Section: Resultsmentioning

confidence: 99%

GNSS IF Signal Simulation Considering Oscillator Phase Noise

2018

J. Navigation

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Oscillator phase noise has a negative effect on the tracking performance of Global Navigation Satellite System (GNSS) receivers. To provide GNSS software receivers with real test environments, this paper proposes a method to simulate the GNSS Intermediate Frequency (IF) signal, taking the oscillator phase noise effect into consideration. The oscillator parameters are first measured via a pseudolite transmitter and receiver system. According to the measured oscillator parameters, an oscillator-induced frequency fluctuation is then generated, and added to the digital IF signal. Further simulation experiments are conducted that attempt to measure the oscillator phase noise effect on a second-order Phase Lock Loop (PLL) performance. Results indicate that the IF signal simulator considering the oscillator phase noise is able to provide software receivers with real signal dynamics, helping to evaluate the performance of signal processing algorithms on a software platform.

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Section: Resultsmentioning

confidence: 99%

GNSS IF Signal Simulation Considering Oscillator Phase Noise

2018

J. Navigation

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“…Here the pseudorange correction from one reference station b to one satellite q can be expressed as [8] PRC…”

Section: Differential Corrections Estimationmentioning

confidence: 99%

“…Li et al [6] and Zhou et al [7] have demonstrated the good performance of GPS + BDS real-time differential positioning for short baselines. However, the positioning accuracy and reliability deteriorates as the baseline length gets longer because of the reduced spatial correlation of several distance-dependent errors [8]. Thanks to the infrastructure of multiple reference stations, the network real-time differential positioning can provide a potential solution.…”

Section: Introductionmentioning

confidence: 99%

GPS + BDS Network Real-Time Differential Positioning Using a Position Domain Estimation Method

et al. 2019

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The network real-time differential positioning technique is a good choice for meter and sub-meter level’s navigation. More attention has been paid to the Global Positioning System (GPS) and GPS + GLONASS (GLObal NAvigation Satellite System) network real-time differential positioning, but less on the GPS + BDS (BeiDou Navigation Satellite System) combination. This paper focuses on the GPS + BDS network real-time differential positioning. Since the noise of pseudorange observation is large, carrier-phase-smoothed pseudorange is usually used in the network real-time differential positioning to improve the positioning accuracy, while it will be interrupted once the satellite signal is lost or a cycle slip occurs. An improved algorithm in the position domain based on position variation information is proposed. The improved method is immune to the smoothing window and only depends on the number of available satellites. The performance of the network real-time differential positioning using the improved method is evaluated. The performance of GPS + BDS combination is compared with GPS-only solution as well. The results show that the positioning accuracy can be increased by around 10%–40% using the improved method compared with the traditional one. The improved method is less affected by the satellite constellation. The positioning accuracy of GPS + BDS solution is better than that of GPS-only solution, and can reach up to 0.217 m, 0.159 m and 0.330 m in the north, east and up components for the static user station, and 0.122 m, 0.133 m and 0.432 m for the dynamic user station. The positioning accuracy variation does not only depend on whether the user is inside or outside the network, but also on the position relation between the user and network.

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“…Fully exploiting the advantages of pseudorange and carrier phase while avoiding their disadvantages is naturally the best choice to improve positioning performance, which is apparently a data fusion problem. Many scholars have proposed a variety of carrier phase smoothing pseudorange algorithms [2][3][4][5]. However, the steady accuracy of carrier phase smoothing pseudorange is still worth studying theoretically.…”

mentioning

confidence: 99%

“…N k refers to the integer ambiguity corresponding to its carrier wavelength l. T k , I k and z k represent tropospheric delay, ionospheric delay and other un-modeled error terms, respectively. By subtracting (1) and (2) between k and k−1 epoch, the integer ambiguity can be eliminated as shown in the following equations:…”

mentioning

confidence: 99%

GNSS pseudorange and time‐differenced carrier phase measurements least‐squares fusion algorithm and steady performance theoretical analysis

2019

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In Global Navigation Satellite System (GNSS) community, pseudorange observables, without integer ambiguity, have large measurement noise, while carrier phase observables, with high measurement accuracy, have integer ambiguity, which restricts the direct use either of them for high-accuracy navigation and positioning. In this regard, fusing pseudorange and ambiguity-free time-differenced carrier phase (TDCP) is a popular data processing technique. In this Letter, the least-squares fusion is studied. A theoretical analysis of the steady performance of this fusion is conducted. A set of formulas of the steady performance is derived, based on which simulations are carried out for different pseudorange-carrier-phase precision ratios. Results showed that the steady accuracy of fusion pseudorange is about two orders of magnitude higher than that of the original pseudorange, and is close to that of carrier phase observables. Besides, the convergence speed and the comparison to the Hatch filter are also checked in the simulations.

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Performance Analysis for BDS Phase-smoothed Pseudorange Differential Positioning

Cited by 13 publications

References 13 publications

GNSS IF Signal Simulation Considering Oscillator Phase Noise

GNSS IF Signal Simulation Considering Oscillator Phase Noise

GPS + BDS Network Real-Time Differential Positioning Using a Position Domain Estimation Method

GNSS pseudorange and time‐differenced carrier phase measurements least‐squares fusion algorithm and steady performance theoretical analysis

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