Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS

Du, Shuang; Gao, Yang

doi:10.3390/s121114344

Cited by 65 publications

(37 citation statements)

References 10 publications

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“…Dai et al (2009) used triple-frequency observations to detect cycle slips and repaired them using the least-squares ambiguity decorrelation adjustment (Teunissen， 1995) (LAMBDA) method. The integration of global positioning systems (GPS) and inertial navigation systems (INS) for cycle slip detection was proposed by Du and Gao (2012), while Chen et al (2015) presented a real-time cycle slip detection and correction method for doubledifferenced (DD) dual-frequency global navigation satellite system (GNSS) observations from continuously operating reference stations (CORS). However, these studies did not apply realtime cycle slip detection and repair to medium--long baseline marine surveys.…”

Section: Introductionmentioning

confidence: 99%

Improved Method to Detect and Repair Cycle Slip for GNSS Medium–Long Baseline in Real-Time Marine Surveys

Luo

Jikun

2016

Marine Geodesy

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Distance-related errors complicate the resolution of real-time ambiguity in medium--long baseline marine surveys. Therefore, detection and recovery of cycle slips in real time is required to ensure high accuracy of global navigation satellite system positioning and navigation in marine surveys. To resolve this, an improved method was presented, where linear combinations of the triple-differenced (TD) between carriers L 1 and L 2 were formed for a wide lane and free ionosphere. To overcome severe ill-conditioned problems of the normal equation, the Tikhonov regularization method was used. Suggested the construction of a regularized matrix by combining a priori information of known coordinates of reference stations, followed by the Downloaded by [University of Toronto Libraries] at 08:01 27 June 2016 ACCEPTED MANUSCRIPT ACCEPTED MANUSCRIPT 2 determination of the corresponding regularized parameter. A float solution was calculated for the TD ambiguity. The search cycle slip (TD integer ambiguity) was obtained using the least-squares ambiguity decorrelation adjustment (LAMBDA) method. Using our method, cycle slips of several reference station-baselines with lengths of a few hundred to one thousand kilometers were detected in real-time. The results were consistent with professional software, with a success rate of 100%.

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Section: Introductionmentioning

confidence: 99%

Improved Method to Detect and Repair Cycle Slip for GNSS Medium–Long Baseline in Real-Time Marine Surveys

Luo

Jikun

2016

Marine Geodesy

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“…Kaushik et al [24] used the GPOPS-II optimal control software for trajectory computation. There have been several other studies on the optimization of dynamic soaring [25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Albatross-Like Utilization of Wind Gradient for Unpowered Flight of Fixed-Wing Aircraft

2017

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Abstract:The endurance of an aircraft can be considerably extended by its exploitation of the hidden energy of a wind gradient, as an albatross does. The process is referred to as dynamic soaring and there are two methods for its implementation, namely, sustainable climbing and the Rayleigh cycle. In this study, the criterion for sustainable climbing was determined, and a bio-inspired method for implementing the Rayleigh cycle in a shear wind was developed. The determined sustainable climbing criterion promises to facilitate the development of an unpowered aircraft and the choice of a more appropriate soaring environment, as was demonstrated in this study. The criterion consists of three factors, namely, the environment, aerodynamics, and wing loading. We develop an intuitive explanation of the Raleigh cycle and analyze the energy mechanics of utilizing a wind gradient in unpowered flight. The energy harvest boundary and extreme power point were determined and used to design a simple bio-inspired guidance strategy for implementing the Rayleigh cycle. The proposed strategy, which involves the tuning of a single parameter, can be easily implemented in real-time applications. In the results and discussions, the effects of each factor on climbing performance are examined and the sensitivity of the aircraft factor is discussed using five examples. Experimental MATLAB simulations of the proposed strategy and the comparison of the results with those of Gauss Pseudospectral Optimization Software confirm the feasibility of the proposed strategy.

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“…In order to detect cycle slips in every case, inertial sensors can be used for cycle slip detection. Therefore, Colombo,10) Altmayer, 11) Du,12) Takasu and Yasuda 13) integrated GPS/INS to detect cycle slips more precisely. In this aspect, we focus on cycle slip detection using inertial sensors in this paper.…”

Section: 3)mentioning

confidence: 99%

Predictions of Allowable Sensor Error Limit for Cycle-Slip Detection

Song¹,

Kim²,

Ho³

et al. 2014

Trans. Japan Soc. Aero. S Sci.

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Cycle-slip detection is mandatory prior to estimating positions based on carrier-phase observations. Recently, inertial sensors are integrated to detect cycle-slips regardless of sizes and combinations of cycle-slips in different frequencies. However, since inertial sensors contain errors such as random noise and bias, performance of the cycle-slip detection depends on the sensor performance. In general, there is a trade-off relationship between cost and performance of sensors, and we need to select appropriate sensors to achieve required cycle-slip detection performance. Therefore, we need a standard to select appropriate sensors. This paper introduces a procedure to predict allowable sensor error limit for gyroscope and odometer aided cycle-slip detection using theoretical formulation. By using error models of sensors, an error equation is set to predict error contributions from the sensors contained in the monitoring value that is used for cycle-slip detection. Simulation data is used to evaluate derived error equation and predict the error limit of sensors achieving objective performance. As a result, allowable sensor error region is predicted to detect 1 cycle-slip as a minimum detectable cycle-slip. This approach can be extended to accelerometers, and then it can be applied not only to vehicles on land, but also to those in aerospace.

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Inertial Aided Cycle Slip Detection and Identification for Integrated PPP GPS and INS

Cited by 65 publications

References 10 publications

Improved Method to Detect and Repair Cycle Slip for GNSS Medium–Long Baseline in Real-Time Marine Surveys

Improved Method to Detect and Repair Cycle Slip for GNSS Medium–Long Baseline in Real-Time Marine Surveys

Albatross-Like Utilization of Wind Gradient for Unpowered Flight of Fixed-Wing Aircraft

Predictions of Allowable Sensor Error Limit for Cycle-Slip Detection

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