Synchronisation method for pulsed pseudolite positioning signal under the pulse scheme without slot‐permutation

Wang, Jianhui; Xu, Ying; Luo, Ruidan; Zhang, Yi; Yuan, Hong

doi:10.1049/iet-rsn.2017.0164

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…The duty cycle of TH pulses is predetermined and pulse positions are controlled by a group of pseudorandom TH slot indices which can be generated by a linear feedback shift register (LFSR) [11], [12] or by a stored TH table [13]- [15]. The role of the pseudorandom TH slot indices is to maintain the spectral characteristics of original continuous DSSS signal so that the Doppler frequency ambiguity arisen from acquisition and tracking of the pseudolite signal can be removed [8], [15], [16]. Generally speaking, a TH table is relatively convenient for use than the LFSR-based method, since that the pulse number in one TH pulse pattern controlled by a LFSR may not easily meet the pulse number given in advance.…”

Section: Introductionmentioning

confidence: 99%

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Song

et al. 2020

IEEE Access

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The pulse position detection of the pseudorandom time-hopping (TH) pseudolite is critical for the participative global navigation satellite system (GNSS) receivers. The conventional method to detect the pseudorandom TH pulse positions of the received pseudolite signal is mainly based on the exhaustive search of the matched TH intervals, which may cause low detection probability or even detection failure in relatively low signal to noise ratio (SNR) environments. With this problem, a new method to detect the TH pulse positions is given. The general process of the given method is that first the TH intervals derived from the correlation peaks of discontinuous direct sequence spread spectrum (DSSS) component are mapped to a code sequence, and then the mapped code sequence is circularly correlated in turn with each code sequence obtained from each group of TH slot indices of the TH table, finally by searching the maximum circular correlation peak, the TH slot indices of the received pseudolite signal and their initial phase will be found, further by combining them the work of TH pulse position detection is fulfilled. The simulation results show that with the given method, the detection probability and detection error of the obtained TH pulse positions can be greatly improved, hence the performance of the participative GNSS receivers will be enhanced.

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Section: Introductionmentioning

confidence: 99%

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Song

et al. 2020

IEEE Access

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“…The key innovation of the proposed algorithm lies in the concept of using the specific characters of the problem as a priori knowledge. For the nonlinear error in the ground-based position determination, some pure nonlinear algorithms are capable of overcoming it [21]- [23], but the reason is that the algorithms are usually a complicated mixture of different aspects, which involve several complicated portions, like LM, UKF [9]- [11], [17], [18]. In the proposed algorithm, since the to-be-estimated parameter and the pseudorange decomposition method different from the conventional linearization positioning algorithm are employed, the nonlinear error caused by the linearization process is eliminated essentially by the nonlinear compensation term in the iterative process.…”

Section: ) Algorithm Innovationsmentioning

confidence: 99%

“…The second type of methods focuses on positioning applications based on carrier phase information, which provides the potential of centimeter-level positioning accuracy [6]. Due to the inevitable existence of nonlinear error, it is necessary to adopt the universal nonlinear numerical estimation method, such as the LM algorithm previously mentioned, or to apply nonlinear methods for carrier-phase positioning specifically [21]- [23]. Many related algorithms such as Particle Swarm Optimizations (PSO) [11] and Unscented Kalman Filter (UKF) algorithm [10] have been proposed.…”

Section: Introductionmentioning

confidence: 99%

An Improved Position Determination Algorithm Based on Nonlinear Compensation for Ground-Based Positioning Systems

Yao

2019

IEEE Access

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In the absence of GNSS or when signals from satellites are blocked in harsh environments, a ground-based positioning system can be used to estimate the position of users and receivers. Nevertheless, ground-based systems suffer dramatic nonlinear error resulting from the linearization used in typical positioning algorithms. Robust positioning algorithms that are capable of handling strong nonlinearity cases are therefore of great value. In this paper, we propose an algorithm termed promoted iterative least-squares based on nonlinear-compensation (PILSBON) to effectively alleviate the influence of nonlinear effects. This algorithm is based on the accurate expression of the nonlinear error terms in the double-differenced pseudorange measurement model. In order to eliminate the effects of nonlinearity for targeted solutions, the PILSBON uses iterative numerical estimation to compensate for nonlinear error so that the nonlinear position determination is transformed into a linear model, which can then be estimated with a linear estimation algorithm. In this paper, we analyze the properties of the PILSBON and compare it to conventional solutions. Because of its specific strategy for nonlinearity, our results show that the PILSBON improves the overall accuracy by approximately 30% compared with conventional solutions according to statistic RMSE data from over 500 experiments and positions. Moreover, by deploying a practical ground-based positioning system with six transmitters on the rooftop of our laboratory building, we demonstrate that the PILSBON algorithm can be efficiently employed in real-world experiments.INDEX TERMS Nonlinear compensation, ground-based positioning system, positioning algorithm, differential pseudorange, least-squares estimation.

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“…Though much research on pseudolite tracking focuses on improving and optimizing the scalar tracking loop (STL) [24][25][26][27], they ignore the abundant information of other channels. In contrast, the VTL uses a big loop to filter the observations of all channels, which makes full use of the information of each channel and improves the tracking performance of the signals.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Vector Tracking Architecture for Pseudo-Random Pulsing CDMA Signals

Lin

Sun

et al. 2021

Sensors

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The vector tracking loop (VTL) has high tracking accuracy and a superior ability to track weak signals in GNSS. However, traditional VTL architecture is established on continuous Code Division Multiple Access (CDMA) signal and is incompatible with pseudolite positioning systems (PLPS) because PLPS generally adopts a pseudo-random pulsing CDMA signal structure to mitigate the near-far effect. Therefore, this paper proposes an optimized VTL architecture for pseudo-random pulsing CDMA signals. To avoid estimation biases in PLPS, the proposed VTL adopts irregular update periods (IUP) pre-filters which adjust the update cycles according to the active timeslot intervals. Meanwhile, as the active timeslots of different pseudolites do not overlap, the sampling time of the navigation filter inputs is inconsistent and time-varying, causing jitter degradation. Thus, the proposed VTL predicts the measurements so that they can be sampled at the same time, which improves tracking accuracy. Simulation is carried out to evaluate the performance of the proposed VTL. The results suggest that the proposed VTL outperforms the traditional pre-filter-based VTL and IUP pre-filter-based VTL.

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Synchronisation method for pulsed pseudolite positioning signal under the pulse scheme without slot‐permutation

Cited by 6 publications

References 5 publications

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

Pulse Position Detection of the Pseudo Random Time-Hopping Pseudolite for the Participative GNSS Receivers

An Improved Position Determination Algorithm Based on Nonlinear Compensation for Ground-Based Positioning Systems

An Optimized Vector Tracking Architecture for Pseudo-Random Pulsing CDMA Signals

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