Публикация:Шатилов 2012 A Tightly-Coupled GNSS/IMU Integration Algorithm for Multi-Purpose INS — различия между версиями

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<includeonly>{{Статья|PageName = Публикации:Шатилов 2012 A Tightly-Coupled GNSS/IMU Integration Algorithm for Multi-Purpose INS
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<includeonly>{{Статья|PageName = Публикации:Шатилов 2012 A Tightly-Coupled GNSS-IMU Integration Algorithm for Multi-Purpose INS
 
   |автор =  Shatilov, A. Y.
 
   |автор =  Shatilov, A. Y.
 
   |автор2 = Nagin, I. A.
 
   |автор2 = Nagin, I. A.
   |название = In-car GNSS Jammers Tracking System Evaluation Results
+
   |название = A Tightly-Coupled GNSS/IMU Integration Algorithm for Multi-Purpose INS
 
   |журнал = Proc. ION GNSS
 
   |журнал = Proc. ION GNSS
 
   |год = 2012
 
   |год = 2012
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   |автор =  Shatilov, A. Y.
 
   |автор =  Shatilov, A. Y.
 
   |автор2 = Nagin, I. A.
 
   |автор2 = Nagin, I. A.
   |название = In-car GNSS Jammers Tracking System Evaluation Results
+
   |название = A Tightly-Coupled GNSS/IMU Integration Algorithm for Multi-Purpose INS
 
   |журнал = Proc. ION GNSS
 
   |журнал = Proc. ION GNSS
 
   |год = 2012
 
   |год = 2012
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   |язык = english
 
   |язык = english
 
}}
 
}}
 
  
 
== Abstract ==  
 
== Abstract ==  
  
 
A tightly-coupled GNSS/INS integration algorithm has been developed. It implements an approach where user dynamics model is expressed via accelerometer and gyro measurements. That resulted in higher computational efficiency and seamless filter design. In proposed algorithm INS data is fed into receiver’s tracking loops to compensate line-of-sight dynamics and tighten their bandwidths. It increases the receiver’s sensitivity and antijam capability. From the other hand, receiver’s PVT (Position, Velocity, Time) output allowed to estimate and compensate IMU errors – that resulted in more precise INS navigation solution in standalone mode (during GNSS outages). The development and simulation results for the proposed algorithm with tactical-grade IMU are presented in this paper.
 
A tightly-coupled GNSS/INS integration algorithm has been developed. It implements an approach where user dynamics model is expressed via accelerometer and gyro measurements. That resulted in higher computational efficiency and seamless filter design. In proposed algorithm INS data is fed into receiver’s tracking loops to compensate line-of-sight dynamics and tighten their bandwidths. It increases the receiver’s sensitivity and antijam capability. From the other hand, receiver’s PVT (Position, Velocity, Time) output allowed to estimate and compensate IMU errors – that resulted in more precise INS navigation solution in standalone mode (during GNSS outages). The development and simulation results for the proposed algorithm with tactical-grade IMU are presented in this paper.
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== Галерея ==
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Принт статьи - [[Media:20160226 A tightly-coupled GNSS_IMU integration algorithm for multi-purpose INS.pdf|pdf]]
  
 
== См. также ==
 
== См. также ==

Текущая версия на 11:17, 26 февраля 2016

Shatilov, A. Y., Nagin, I. A. A Tightly-Coupled GNSS/IMU Integration Algorithm for Multi-Purpose INS // Proc. ION GNSS. — 2012. — Pp. 867-873.

BibTeX:
 @article{shatilov2012ion,
   author = "Shatilov, A. Y. and Nagin, I. A.",
   title = "A Tightly-Coupled GNSS/IMU Integration Algorithm for Multi-Purpose INS",
   journal = "Proc. ION GNSS",
   pages = "867-873",
   year = "2012",
   language = english
 }

[править] Abstract

A tightly-coupled GNSS/INS integration algorithm has been developed. It implements an approach where user dynamics model is expressed via accelerometer and gyro measurements. That resulted in higher computational efficiency and seamless filter design. In proposed algorithm INS data is fed into receiver’s tracking loops to compensate line-of-sight dynamics and tighten their bandwidths. It increases the receiver’s sensitivity and antijam capability. From the other hand, receiver’s PVT (Position, Velocity, Time) output allowed to estimate and compensate IMU errors – that resulted in more precise INS navigation solution in standalone mode (during GNSS outages). The development and simulation results for the proposed algorithm with tactical-grade IMU are presented in this paper.

[править] Галерея

Принт статьи - pdf

[править] См. также

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