INS/CNS/GNSS Integrated Navigation Technology

Wei, Qufu; Li, Jianli; Gong, Xiaolin; Fang, Jiancheng

doi:10.1007/978-3-662-45159-5

Cited by 42 publications

(37 citation statements)

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“…Also, found that more researches were exist for joint implementation of both INS as well as GPS. A closer look into such navigational system shows that navigational information offered by INS system is potentially associated with errors [5]. Although, such errors in navigational information of INS are highly short termed but it spontaneously degrades over a period of time.…”

Section: Introductionmentioning

confidence: 99%

Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller

Someswari¹,

Tiwari²,

Nagaraj³

2018

IJECE

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The reliability of any embedded navigator in advanced vehicular system depends upon correct and precise information of navigational data captured and processed to offer trustworthy path. After reviewing the existing system, a significant trade-off is explored between the existing navigational system and present state of controller design on various case studies and applications. The existing design of controller system for navigation using error-prone GPS/INS data doesn‟t emphasize on sliding mode controller. Although, there has been good number of studies in sliding mode controller, it is less attempted to optimize the navigational performance of a vehicle. Therefore, this paper presents a novel optimized design of a sliding mode controller that can be effectively deployed on advanced navigational system. The study outcome was found to offer higher speed, optimal control signal, and lower error occurances to prove that proposed system offers reliable and optimized navigational services in contrast to existing system.

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Section: Introductionmentioning

confidence: 99%

Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller

Someswari¹,

Tiwari²,

Nagaraj³

2018

IJECE

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“…With respect to an airborne single remote sensing load, a position and orientation system (POS) is always used to measure the motion parameter [4][5][6]. In substance, POS is an integrated navigation system of a strapdown inertial navigation system (SINS) and a global navigation satellite system (GNSS) in which the SINS and GNSS are combined to realize complementary advantages; it significantly improves the overall performance of a navigation system [7]. However, with respect to the case of multiple remote sensing loads installed in an aircraft, the flexible deformation of aircraft results in a change in the spatial distance between loads (termed as the baseline).…”

Section: Introductionmentioning

confidence: 99%

A transfer alignment method for airborne distributed POS with three-dimensional aircraft flexure angles

Gong

Chen

Fang

et al. 2018

Sci. China Inf. Sci.

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An airborne distributed position and orientation system (POS) appears to satisfy the requirement of multi-point motion parameters measurement. This relies on transfer alignment from a high precision master system to slave systems to obtain high accuracy motion parameters of all points. A key problem for a distributed POS involves determining a method to treat the aircraft flexure appropriately and achieve high precision transfer alignment. In this study, the effect of aircraft flexure on transfer alignment accuracy for airborne earth observation is first analyzed. Based on this, the error model of transfer alignment that considers three-dimensional flexure angles are established, and a transfer alignment based on parameter identification unscented Rauch-Tung-Striebel smoother (PIURTSS) is proposed. The simulations results show that the transfer alignment method based on PIURTSS effectively improves the estimation accuracy.

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“…Specifically, in this paper, we propose a preliminary (and empiric) single-frequency kinematic performance assessment of Galileo, GPS, and GLONASS data acquired by using a Leica GS14 receiver, with reference to a trajectory estimated with MMS equipped with a POS/LV (Position and Orientation System for Land Vehicles), produced by the Applanix corporation. The Applanix system features a filtering system capable of integrating GNSS measurements with an IMU (inertial measurement unit) in order to guarantee a stable, reliable, and repeatable positioning solution for land-based vehicle applications [34] and to ensure better positioning performance with regard to GNSS-only measurements (complementary and surpassing property [35]). The performed trajectory comparisons were produced in such a way as to consider, for the three positioning systems, all the possible combinations (with four, five and six satellites for each considered constellation), by simulating a reduced operability for GPS and GLONASS.…”

Section: Introductionmentioning

confidence: 99%

Single-Frequency Kinematic Performance Comparison between Galileo, GPS, and GLONASS Satellite Positioning Systems Using an MMS-Generated Trajectory as a Reference: Preliminary Results

Tarantino

Novelli

Cefalo

et al. 2018

IJGI

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The initial Galileo satellite positioning services, started on December 15, 2016, became available with a formal announcement by the European Commission. This first step toward the Galileo system Full Operational Capability (FOC) has allowed many researchers to test the new system. The aim of this paper is to illustrate the results and the conclusions of a kinematic test involving a GNSS (Global Navigation Satellite System) multi-constellation receiver able to acquire the Galileo Open Service (OS) signal. The produced outputs were compared to a reference trajectory obtained from a Mobile Mapping System (MMS) implementing integrated high-performance GPS/INS measurements. By exploiting the CUI (command user interface) of the open source library RTKLIB, a reduced operative status was simulated for GPS and GLONASS. Specifically, all the possible operative combinations were tested and, when possible, statistically assessed. This was necessary to offer a fair comparison among the tested constellations. The results, referred to the reference trajectory, show that the new European system is characterized by a better planimetric performance with respect to the other systems, whereas, from an altimetric point of view, the GPS and GLONASS systems perform better.

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INS/CNS/GNSS Integrated Navigation Technology

Cited by 42 publications

References 0 publications

Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller

Novel Framework for Navigation using Enhanced Fuzzy Approach with Sliding Mode Controller

A transfer alignment method for airborne distributed POS with three-dimensional aircraft flexure angles

Single-Frequency Kinematic Performance Comparison between Galileo, GPS, and GLONASS Satellite Positioning Systems Using an MMS-Generated Trajectory as a Reference: Preliminary Results

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