In the context of mobile phones, local optimal global navigation satellite systems (GNSS) shadow matching algorithm, which is based on urban three-dimensional model, can effectively reduce error GNSS pseudo-range single-point positioning. However, positioning accuracy this algorithm susceptible to noise, and its continuous signal-to-noise ratio (SNR) scoring method does not fully exploit probability density distribution information contained in SNR. Therefore, paper proposes two improvements...

The power of DC/DC converters can be significantly improved using interleaved converters. losses in switching are reduced a resonant circuit composed inductors and other components, which is useful method for improving efficiency. A growing number studies focused on coupled converters, increase the gravimetric density reduce inductors. Power‐inductor resonant‐inductor coupling single‐phase has been proposed by some researchers, but few have addressed power‐inductor multiphase Therefore,...

Multi-constellation global navigation satellite systems (GNSSs) are expected to enhance the capability of precise point positioning (PPP) by improving accuracy and reducing convergence time because more satellites will be available. This paper discusses performance multi-constellation kinematic PPP based on a model, Kalman filter stochastic models. The experimental dataset was collected from receivers vehicle processed using self-developed software. A comparison real-time (RTK) results...

Currently, indoor locations based on the received signal strength (RSS) of Wi-Fi are attracting more and attention thanks to technology’s low cost, power consumption wide availability in mobile devices. However, accuracy positioning is limited, due fluctuation multipath interference. In order overcome this problem, paper proposes a robust accurate fingerprint location recognition method deep neural network (DNN). A stacked denoising auto-encoder (SDAE) used extract features from noisy RSS...

In the meteorology of Global Navigation Satellite System, weighted mean temperature (Tm) is a key parameter in process converting zenith wetness delay into precipitable water vapor, and it plays an important role vapor monitoring. this research, two deep learning algorithms, namely, recurrent neural network (RNN) long short-term memory (LSTM), were used to build high-precision model for China using their excellent time series capability. The needs site location information measured surface...

A new method of real-time cycle-slip detection and repair for BeiDou navigation satellite system (BDS) triple-frequency undifferenced observations is proposed. The method, which based on code–phase geometry-free phase combinations, composes linearly independent combination to uniquely determine the original frequency in two steps. First, extra-wide lane (EWL) combinations are utilised EWL cycle-slips. sum carrier coefficients zero. Second, with a non-zero combinations. Ionospheric delay...

Application mathematical model for GPS height fitting problem, rational and accurate parameters of have impact on the final accuracy. It is known that researchers are used to applying least squares (LS) establish Gauss–Markov (G–M model) computation models realise fitting. The premise establishing G–M based LS under assumptions coefficient matrix error-free, random error exists only in observation data. However, two kinds factors mean this hypothesis does not exist exactly: first, both data...

To achieve fast satellite selection for a multi-Global Navigation Satellite System (GNSS), thereby reducing the burden on receiver's processing element and cost of hardware, improving utilisation ratio receiver signal channels, relationship between number satellites Geometric Dilution Of Precision (GDOP), selected computation time is analysed. A rotating partition algorithm based equal distribution sky proposed. The divides process into two parts: rough detailed selection. Unhealthy...

In Global Positioning System/Inertial Navigation System (GPS/INS) integrated navigation, the low sampling rate of GPS receivers reduces observability state variables. observation expansion is proposed to enhance GPS/INS navigation system. During process expansion, variables are updated by same information repeatedly. According uncertainty theory, probability density function analysed demonstrate feasibility expansion. The formula and calculation method an adaptive filter algorithm presented...

As one of the atmosphere propagation delays, tropospheric delay is a significant error source that should be properly handled in high-precision global navigation satellite system (GNSS) applications. We propose an improved zenith (ZTD) modeling method whereby piecewise model atmospheric refractivity introduced. Compared with using exponential to fit ZTD vertical direction, has better performance. Based on ERA5 2.5° × reanalysis data produced by European Centre for Medium-Range Weather...

Regarding the terrestrial water storage anomaly (TWSA) gap between Gravity Recovery and Climate Experiment (GRACE) GRACE Follow-on (-FO) gravity satellite missions, a BEAST (Bayesian estimator of abrupt change, seasonal change trend)+GMDH (group method data handling) gap-filling scheme driven by hydrological meteorological is proposed. Considering these driving usually cannot fully capture trend changes TWSA time series, we propose first to use algorithm perform piecewise linear detrending...

A deep neural network (DNN)-based Wi-Fi/pedestrian dead reckoning (PDR) indoor positioning system using an adaptive robust factor-graph model is proposed in this study for the of smartphones. In Wi-Fi positioning, authors use a DNN to extract features from fluctuant signals off-line phase, and obtain more accurate results by computing posterior probabilities online positioning. Acceleration, gyroscope, magnetometer data are used calculate attitude angle, step frequency, length, respectively....

With the development of global satellite navigation systems, kinematic Precise Point Positioning (PPP) is facing increasing computational load instantaneous (single-epoch) processing due to more and visible satellites. At this time, selection algorithm that can effectively reduce complexity causes us consider its application in GPS/BDS/GLONASS PPP. Considering characteristics different systems algorithms, we proposed a new approach (NSS model) which includes three algorithms (maximum volume...

To deal with the adverse influence of model failures on Kalman filtering (KF) estimation, it is necessary to investigate generalized reliability theory, including failure detection and identification method as well separability theories. Although theory for least square has been discussed many decades, KF not widely discussed. Compared square, includes only measurement model, but also dynamic model. In KF, predicted value state parameters from considered pseudo-measurements combined observed...

Propagation path delays are a major error for the remote precise time transfer of common view; these contain ionosphere and troposphere impact, while contributions from common-view satellites to receivers on ground tend become uncorrelated when distance between increases. In order select appropriate ionospheric correction method view under different distances receivers, detailed test using multi-source data disturbances carried out in this paper. Here, we choose three disturbance methods...

Tropospheric delay is one of the main errors in precise point positioning (PPP). The inaccuracy tropospheric model will inevitably lead to a decrease PPP accuracy. Therefore, influence gradient on accuracy should be considered processing delay. At same time, effects different mapping function models and meteorological parameter calculation methods single-frequency (SF PPP) are analyzed. Twelve MGEX stations, which evenly distributed world, used this article. Taking into account seasonal...

Multipath errors, as one of the manifest unmodelled error types introduced by code measurements, are absorbed in ionospheric observables, which results pollution. In this work, order to cancel out random noise an adjustment algorithm, modelling multipath errors derived from measurement residuals undifferentiated and uncombined precise point position (PPP) mode is realized solving a regularization problem, Tikhonov (i.e. first difference) taken into account. Furthermore, Thomas update...

With the further development of construction “smart mine,” establishment three-dimensional (3D) point cloud models mines has become very common. However, truck operation caused 3D model mining area to contain dust points, and established by Context Capture modeling software is a hollow structure. The previous denoising algorithms holes in model. In view above problems, this paper proposes method based on orthogonal total least squares fitting two-layer extreme learning machine improved...