System Modeling and Non-Linear Estimation Performance Comparison of Monocular Vision based Integrated Navigation System

2016 ◽  
Vol 10 (2) ◽  
pp. 413-420
Author(s):  
Dae Hee Won ◽  
Sukchang Yun ◽  
Young Jae Lee ◽  
Sangkyung Sung
Keyword(s):  
Navigation System ◽  
System Modeling ◽  
Performance Comparison ◽  
Monocular Vision ◽  
Linear Estimation ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Estimation Performance ◽  
Non Linear

Federated Particle Filter Technology Based on JIDS/SINS/GPS Integrated Navigation System

2013 ◽  
Vol 347-350 ◽  
pp. 1544-1548
Author(s):  
Zi Yu Li ◽  
Yan Liu ◽  
Ping Zhu ◽  
Cheng Ying
Keyword(s):  
Kalman Filter ◽  
Particle Filter ◽  
Navigation System ◽  
Integrated System ◽  
Navigation Systems ◽  
Integrated Navigation ◽  
Fusion Algorithm ◽  
Integrated Navigation System ◽  
Non Linear ◽  
Federated Kalman Filter

In multi-sensor integrated navigation systems, when sub-systems are non-linear and with Gaussian noise, the federated Kalman filter commonly used generates large error or even failure when estimating the global fusion state. This paper, taking JIDS/SINS/GPS integrated navigation system as example, proposes a federated particle filter technology to solve problems above. This technology, combining the particle filter with the federated Kalman filter, can be applied to non-linear non-Gaussian integrated system. It is proved effective in information fusion algorithm by simulated application, where the navigation information gets well fused.

scholarly journals Multi-Thread Based Design of Navigation Algorithm Module in Multi Radio Integrated Navigation System M&S Software

2019 ◽  
Vol 94 ◽  
pp. 01009
Author(s):  
Jae Hoon Son ◽  
Heyone Kim ◽  
Sang Heon Oh ◽  
Hyoungmin So ◽  
Dong-Hwan Hwang
Keyword(s):  
Modeling And Simulation ◽  
Navigation System ◽  
System Modeling ◽  
Simulation Software ◽  
Navigation Systems ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Module Design ◽  
Navigation Algorithm ◽  
Navigation Algorithms

A multi-thread based navigation algorithm module is designed in a multi radio integrated navigation system modeling and simulation software in order to efficiently use resources in the software platform of the modeling and simulation software. By adopting the multi-thread architecture, features of navigation algorithms and concurrency of the algorisms can be easily included in the navigation algorithm module. In order to show the usefulness of the multi thread based navigation algorithm module design, a navigation algorithm module in the multi-radio integrated navigation system for GPS, KNSS, Loran-C, eLoran and DME/VOR is implemented in C++ under the Windows operating system. The implementation results show that the thread based design can be useful in the development of multi radio integrated navigation systems.

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