Analysis of deeply integrated and tightly coupled architectures

Lashley, Matthew; Bevly, David M.; Hung, John Y.

doi:10.1109/plans.2010.5507127

Cited by 23 publications

(22 citation statements)

References 11 publications

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“…The GNSS/SINS deep-coupled system has several kinds of deep-coupled structures which have been discussed in [19,21,22]. In this paper, a federated filtering architecture with a coherent prefilter algorithm will be designed in the following subsections.…”

Section: Joint Vector-tracking-based System Structurementioning

confidence: 99%

A Joint Dual-Frequency GNSS/SINS Deep-Coupled Navigation System for Polar Navigation

Zhao

Ding

et al. 2018

Applied Sciences

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The strategic position of the polar area and its rich natural resources are becoming increasingly important, while the northeast and northwest passages through the Arctic are receiving much attention as glaciers continue to melt. The global navigation satellite system (GNSS) can provide real-time observation data for the polar areas, but may suffer low elevation problems of satellites, signals with poor carrier-power-to-noise-density ratio (C/N 0 ), ionospheric scintillations, and dynamic requirements. In order to improve the navigation performance in polar areas, a deep-coupled navigation system with dual-frequency GNSS and a grid strapdown inertial navigation system (SINS) is proposed in the paper. The coverage and visibility of the GNSS constellation in polar areas are briefly reviewed firstly. Then, the joint dual-frequency vector tracking architecture of GNSS is designed with the aid of grid SINS information, which can optimize the tracking band, sharing tracking information to aid weak signal channels with strong signal channels and meet the dynamic requirement to improve the accuracy and robustness of the system. Besides this, the ionosphere-free combination of global positioning system (GPS) L1 C/A and L2 signals is used in the proposed system to further reduce ionospheric influence. Finally, the performance of the system is tested using a hardware simulator and semiphysical experiments. Experimental results indicate that the proposed system can obtain a better navigation accuracy and robust performance in polar areas. of meridian convergence by setting an available reference line. However, the single SINS navigation output still contains periodic oscillation errors and accumulated errors.The global navigation satellite system (GNSS) can provide real-time observation data globally and in all weather [8,9]. Besides this, more and more GNSS frequency bands are available for users, which will benefit from the development of dual-frequency or multifrequency receivers [10][11][12]. However, in polar areas, GNSS signals often suffer low elevation problems of satellites, signals with poor carrier-power-to-noise-density ratio (C/N 0 ), ionospheric scintillations, and even dynamic requirements, which may cause the navigation performance to decline and even fail [13,14].The above discussion indicates that it is hard for a single navigation system to provide precise and reliable navigation information in polar areas. On the contrary, the integrated navigation system is a popular solution for many applications which need a precise and reliable navigation output. Some grid-SINS-based integrated systems with the star tracker [6] and Doppler velocity logger (DVL) [7,15] have been designed, but they have limits of application such as weather conditions or underwater/shipping applications only. Although a loose-coupled GNSS/grid SINS is proposed in [16], neither the coverage and usability of satellites, the quality of GNSS signals, nor the dynamic requirements have been considered, which may greatly affect the navigation ...

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Section: Joint Vector-tracking-based System Structurementioning

confidence: 99%

A Joint Dual-Frequency GNSS/SINS Deep-Coupled Navigation System for Polar Navigation

Zhao

Ding

et al. 2018

Applied Sciences

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“…As shown in (3), each state in the residual filter has a corresponding error state in the master filter. Further details on the operation and design of the residual filter are provided in [17,18]. Figure 5 shows a block diagram of the federated deeply integrated architecture without vector tracking (i.e., scalar tracking residual filters).…”

Section: Federated Filter With Vector Tracking Residual Filtersmentioning

confidence: 99%

Performance Comparison of Deep Integration and Tight Coupling

Lashley¹,

Bevly

2013

J Inst Navig

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“…GPS/INS integrated system can be classified into three types by the integration level, namely, loosely coupled, tightly coupled, and ultra-tightly coupled (also called deeply coupled). Researchers disagree on what exactly defines each of the three couplings [4][5][6]. The definitions used in this paper are referred to those given by Gao and Lachapelle in [5].…”

Section: Introductionmentioning

confidence: 99%

Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment

Wang

Gao

et al. 2014

Mathematical Problems in Engineering

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Among all integration levels currently available for Global Positioning System (GPS) and Inertial Navigation System (INS) Integrated System, ultra-tightly coupled (UTC) GPS/INS system is the best choice for accurate and reliable navigation. Nevertheless the performance of UTC GPS/INS system degrades in challenging environments, such as jamming, changing noise of GPS signals, and high dynamic maneuvers. When low-end Inertial Measurement Units (IMUs) based on MEMS sensors are employed, the performance degradation will be more severe. To solve this problem, a reinforced UTC GPS/INS system is proposed. Two techniques are adopted to deal with jamming and high dynamics. Firstly, adaptive integration Kalman filter (IKF) based on fuzzy logics is developed to reinforce the antijamming ability. The parameters of membership functions (MFs) are adjusted and optimized through self-developed neutral network. Secondly, a Doppler frequency error estimator based on Kalman filter is designed to improve the navigation performance under high dynamics. A complete simulation platform is established to evaluate the reinforced system. Results demonstrate that the proposed system architecture significantly improves navigation performance in challenging environments and it is a more advanced solution to accurate and reliable navigation than traditional UTC GPS/INS system.

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Analysis of deeply integrated and tightly coupled architectures

Cited by 23 publications

References 11 publications

A Joint Dual-Frequency GNSS/SINS Deep-Coupled Navigation System for Polar Navigation

A Joint Dual-Frequency GNSS/SINS Deep-Coupled Navigation System for Polar Navigation

Performance Comparison of Deep Integration and Tight Coupling

Reinforced Ultra-Tightly Coupled GPS/INS System for Challenging Environment

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