Design and Performance Validation of Integrated Navigation System Based on Geometric Range Measurements and GIS Map for Urban Aerial Navigation

An integration algorithm for a strapdown inertial navigation system with optical horizon sensor based on Kalman filtering is presented. It allows the accuracy of the estimation of aircraft motion parameters to be improved. A self-contained horizon recognition algorithm for the video sequence that enables real-time aircraft attitude determination relative to the horizon line is developed. A scaled-down simulation and performance analysis of the operation of the integrated navigation system is carried out.

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Based on Grid Reference Frame for SINS/CNS Integrated Navigation System in the Polar Regions

Complexity ◽

10.1155/2019/2164053 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Song Lijun ◽

Zhao Wanliang ◽

Cheng Yuxiang ◽

Chen Xiaozhen

Keyword(s):

Reference Frame ◽

Navigation System ◽

Inertial Navigation System ◽

Inertial Navigation ◽

Polar Regions ◽

Integrated Navigation ◽

Integrated Navigation System ◽

Celestial Navigation ◽

Low Latitudes ◽

And Performance

As the inertial navigation system cannot meet the precision requirements of global navigation in the special geographical environment of the Polar Regions, this paper presents Strapdown Inertial Navigation System (SINS)/Celestial Navigation System (CNS) integrated navigation system of airborne based on Grid Reference Frame (GRF) and the simulation is carried out. The result of simulation shows that the SINS/CNS integrated navigation system is superior to the single subsystem in precision and performance, which not only effectively inhibits the error caused by gyro drift but also corrects the navigation parameters of system without delay. Comparing the simulation in the middle and low latitudes and in the Polar Regions, the precision of SINS/CNS integrated navigation system is the same in the middle and low latitudes and in the Polar Regions.

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Implementation and performance evaluation of a fast relocation method in a GPS/SINS/CSAC integrated navigation system hardware prototype

IEICE Electronics Express ◽

10.1587/elex.14.20170121 ◽

2017 ◽

Vol 14 (6) ◽

pp. 20170121-20170121 ◽

Cited By ~ 9

Author(s):

Changhui Jiang ◽

Shuai Chen ◽

Yuming Bo ◽

Zhaohang Sun ◽

Qiwei Lu

Keyword(s):

Performance Evaluation ◽

Navigation System ◽

Integrated Navigation ◽

Integrated Navigation System ◽

And Performance

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Study of Simulation Platform for BDS/INS/CNS Deep Integration Navigation

Mathematical Problems in Engineering ◽

10.1155/2020/7281035 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Zhaoyang Zuo ◽

Bo Yang ◽

Chunguo Yue ◽

Dongrong Meng

Keyword(s):

Navigation System ◽

Simulation Platform ◽

Integrated Navigation ◽

Integrated Navigation System ◽

High Dynamic ◽

Integration Navigation ◽

And Performance ◽

Deep Integration ◽

Speed Accuracy ◽

Better Than

In this paper, INS/CNS (CINS) is integrated into a module, and then CINS and BDS are further combined to form a deep integrated BDS/INS/CNS navigation system, which can significantly improve the navigation, positioning, and attitude measurement accuracy under high dynamic and strong interference conditions. It has broad application prospects for specific users such as high-altitude long-endurance Unmanned Aerial Vehicle (UAV) and high-maneuvering glider. In order to verify and analyze the algorithm and performance of the deep integrated navigation system, the design and implementation of BDS/INS/CNS deep integrated navigation simulation platform are presented and the overall architecture, information flow, and the composition of each subsystem of the simulation platform are introduced. The simulation results show that, under high dynamic conditions, the position accuracy of the BDS/INS/CNS deep integrated navigation system is better than 1 m, the speed accuracy is better than 0.1 m/s, and the overall performance is better than the BDS/INS deep integrated navigation system. It also verifies the availability of the simulation platform, which has guiding significance for the next design of BDS/INS/CNS deep integrated navigation prototype.

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