TITLE

Navigation System Error Indirect Correction using Inertial Navigation System's Information Stability

AUTHOR(S)
LIU Yi; SUN Xu; LI Yun-hong
PUB. DATE
January 2014
SOURCE
Journal of Signal Processing;Jan2014, Vol. 30 Issue 1, p100
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The performance of conventional Inertial Navigation System (INS) augmentation approach is subject to the accuracy of external aiding sensors, for which the accumulated INS error couldn't be fully eliminated. A novel INNS correction method is proposed, which take the advantage of high stability of INS solution in short-term. INS error was estimated by data fusion of INS output without aiding and external sensor measurement and it was then applied in INS augmentation. The location accuracy of INS was enhanced in comparison with sensor accuracy. A representative scenario augmenting INS using the radar seeker measurement during missile mid course flight, was then discussed to help explain this novel aiding method using data fusion method. Lastly, the validity of proposed approach in INS aiding was then tested by simulation.
ACCESSION #
94755429

 

Related Articles

  • Impact of on-body IMU placement on inertial navigation. Strozzi, Nicolò; Parisi, Federico; Ferrari, Gianluigi // IET Wireless Sensor Systems;2018, Vol. 8 Issue 1, p1 

    Even though technology-aided personal navigation is an extensively studied research topic, approaches based on inertial sensors remain challenging. In this study, the authors present a comparison between different inertial systems, investigating the impacts of on-body placement of Inertial...

  • Application of Rotation Vector in SINS Algorithms. Liangjin Wan; Chun Dong // Applied Mechanics & Materials;2014, Issue 615, p229 

    Updating attitude precisely in time is the primary task of strapdown inertial navigation system(SINS) algorithms. This paper mainly studied the application of rotation vector in three different methods of data fusion respectively named linear interpolation, gradient descent and complementary...

  • An Accurate and Generic Testing Approach to Vehicle Stability Parameters Based on GPS and INS. Zhibin Miao; Hongtian Zhang; Jinzhu Zhang // Sensors (14248220);Dec2015, Vol. 15 Issue 12, p30469 

    With the development of the vehicle industry, controlling stability has become more and more important. Techniques of evaluating vehicle stability are in high demand. As a common method, usually GPS sensors and INS sensors are applied to measure vehicle stability parameters by fusing data from...

  • On-Line Smoothing for an Integrated Navigation System with Low-Cost MEMS Inertial Sensors. Kai-Wei Chiang; Thanh Trung Duong; Jhen-Kai Liao; Ying-Chih Lai; Chin-Chia Chang; Jia-Ming Cai; Shih-Ching Huang // Sensors (14248220);Dec2012, Vol. 12 Issue 12, p17372 

    The integration of the Inertial Navigation System (INS) and the Global Positioning System (GPS) is widely applied to seamlessly determine the time-variable position and orientation parameters of a system for navigation and mobile mapping applications. For optimal data fusion, the Kalman filter...

  • Study on GPS/INS System Using Novel Filtering Methods for Vessel Attitude Determination. Xiyuan Chen; Chong Shen; Yuefang Zhao // Mathematical Problems in Engineering;2013, p1 

    Any vehicle such as vessel has three attitude parameters, which are mostly defined as pitch, roll, and heading from true north. In hydrographic surveying, determination of these parameters by using GPS or INS technologies is essential for the requirements of vehicle measurements. Recently,...

  • Kalman Filter for Cross-Noise in the Integration of SINS and DVL. Xixiang Liu; Xiaosu Xu; Yiting Liu; Lihui Wang // Mathematical Problems in Engineering;2014, p1 

    The integration of strapdown inertial navigation system and Doppler velocity log (SINS/DVL) is widely used for navigation in automatic underwater vehicles (AUVs). In the integration of SINS/DVL, the velocity measured by DVL in body frame should be projected into navigation frame with the help of...

  • Vehicle positioning system with multihypothesis map matching and robust feedback. Kai Zhang; Shaojun Liu; Yuhan Dong; Daoshun Wang; Yi Zhang; Lixin Miao // IET Intelligent Transport System;2017, Vol. 11 Issue 10, p649 

    A new vehicle positioning system is proposed using unscented Kalman filter for the data fusion of global positioning system and inertial navigation system, and a multi-hypothesis algorithm for map matching. The study presents a method to evaluate whether the results of the multi-hypothesis map...

  • Design and practical implementation of kinematic constraints in Inertial Navigation System‐Doppler Velocity Log (INS‐DVL)‐based navigation. Karmozdi, Ali; Hashemi, Mojtaba; Salarieh, Hassan // Navigation (0028-1522);Winter2018, Vol. 65 Issue 4, p629 

    Kinematic constrained navigation is a subset of model‐aided navigation systems that is attractive because of its independence from extra hardware equipment. In this study, the error‐based Kalman Filter is used for the data fusion process through feedback strategy, and kinematic...

  • EVALUATION OF AN INS ERROR MODEL FOR MINIATURIZED INERTIAL SENSORS. Grigorie, Teodor Lucian; Corcau, Costinel Laurentiu; Negrea, Petre; Sandu, Dragos George // Proceedings of the International Multidisciplinary Scientific Ge;2016, Vol. 2, p271 

    The paper exposes the validation of an error model associated with an inertial navigation system. The final target is to use this model in an integrated ING/GPS architecture based on a neural-network data fusion algorithm. As a start point, the navigator mechanization and its error model are...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics