Inertial Navigation for the Merchant Marine

1970 ◽  
Vol 23 (2) ◽  
pp. 221-232
Author(s):  
D. A. Videlo ◽  
D. L. Wright
Keyword(s):  
Inertial Navigation ◽  
Dead Reckoning ◽  
Direction Finding ◽  
Integrated Systems ◽  
Merchant Marine ◽  
Gyro Compass ◽  
Marine Navigation ◽  
Inertial Systems

In this paper the history and development of inertial systems for the merchant marine is traced from the gyro-compass, familiar at sea since the beginning of the century, to complete inertia systems and integrated systems such as doppler/inertia.The paper was presented at the Marine Navigation Symposium held in Sandefjord, Norway, on 24–6 September 1969 and is reproduced with the permission of the organizers.The gyro-compass was first fitted on board a ship as long ago as 1908. Its function has been as the main reference by which the ship is steered and to which navigation by dead reckoning and direction finding is referred. The compass has been developed continuously to provide a more reliable, more accurate, and smaller instrument costing typically £1000 to £2000.

Position Fixing Requirements for the Merchant Ship

1985 ◽  
Vol 38 (1) ◽  
pp. 122-132
Author(s):  
V. H. M. Ligthart ◽  
A. Wepster
Keyword(s):  
System Control ◽  
User Requirements ◽  
Environmental Constraints ◽  
Merchant Marine ◽  
User Costs ◽  
Merchant Ship ◽  
System User ◽  
The Subject ◽  
Operational Constraints ◽  
Marine Navigation

The subject of this paper is the merchant marine user requirements for position fixing systems (a merchant marine with approximately 40000 ships operating). These requirements are varied and can be summarized as follows:(i) accuracy(ii) availability (possible fix frequency)(iii) reliability(iv) coverage(v) user skill and workload(vi) presentation of information(vii) ambiguity(viii) environmental constraints(ix) operational constraints(x) system control(xi) system user costs.These eleven requirement elements should together serve the two basic purposes of merchant marine navigation: (a) provide a service adequate for safety and (b) enhance economic performance/benefit.

scholarly journals Direction-finding Wireless and Marine Navigation

Nature ◽  
1921 ◽  
Vol 107 (2690) ◽  
pp. 363-364
Author(s):  
J. J. BENNETT
Keyword(s):  
Direction Finding ◽  
Marine Navigation

Navigation Based on Sensors in Smartphones

2018 ◽  
pp. 368-396
Author(s):  
Guenther Retscher ◽  
Allison Kealy
Keyword(s):  
Navigation System ◽  
Inertial Navigation ◽  
Dead Reckoning ◽  
Activity Monitoring ◽  
Navigation Systems ◽  
Location Tracking ◽  
Map Matching ◽  
Complex Environments ◽  
Positioning Systems ◽  
Cooperative Positioning

With the increasing ubiquity of smartphones and tablets, users are now routinely carrying a variety of sensors with them wherever they go. These devices are enabling technologies for ubiquitous computing, facilitating continuous updates of a user's context. They have built-in MEMS-based accelerometers for ubiquitous activity monitoring and there is a growing interest in how to use these together with gyroscopes and magnetometers to build dead reckoning (DR) systems for location tracking. Navigation in complex environments is needed mainly by consumer users, private vehicles, and pedestrians. Therefore, the navigation system has to be small, easy to use, and have reasonably low levels of power consumption and price. The technologies and techniques discussed here include the fusion of inertial navigation (IN) and other sensors, positioning based on signals from wireless networks (such as Wi-Fi), image-based methods, cooperative positioning systems, and map matching (MM). The state-of-the-art of MEMS-based location sensors and their integration into modern navigation systems are also presented.

scholarly journals In-Motion Iterative Fine Alignment Algorithm for On-Board Vehicular Odometer-Aided SINS

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Baichun Gong ◽  
Chenglong He ◽  
Xiaoyue Wang ◽  
Xin Li
Keyword(s):  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Dead Reckoning ◽  
Alignment Algorithm ◽  
Map Matching ◽  
Error Angle ◽  
Landmark Point ◽  
Principle Of Similarity ◽  
Digital Simulations

This research proposes a novel in-motion fine alignment algorithm for vehicular dead reckoning (DR) with odometer-aided strapdown inertial navigation system (SINS) while the map matching result is used for a group of landmark points to estimate misalignment angles. The proposed algorithm is designed based on principle of similarity, that is, trajectory of DR is similar to the true trajectory that the main difference between these two trajectories is rotation and scale. Further, the results from map matching are introduced as a group of landmark points to estimate the residual of azimuth error angle after coarse alignment and the scale factor error of the odometer. It is theoretically proved that the alignment effectiveness based on the results from map matching is equivalent to that on single zero error landmark point. Finally, digital simulations are conducted to verify the presented algorithm and test the performance.

scholarly journals Accurate integrated position and orientation method for vehicles based on strapdown inertial navigation system /Doppler radar

2018 ◽  
Vol 51 (9-10) ◽  
pp. 431-442 ◽  
Author(s):  
Yang Bo ◽  
Wang Yue-gang ◽  
Xue Liang ◽  
Shan Bin ◽  
Wang Bao-cheng
Keyword(s):  
Navigation System ◽  
Inertial Navigation System ◽  
Doppler Radar ◽  
Inertial Navigation ◽  
Dead Reckoning ◽  
Strapdown Inertial Navigation System ◽  
Orientation Method ◽  
Integration Mode ◽  
Position And Orientation ◽  
Strapdown Inertial Navigation

In order to realize maneuver combat in the modern warfare, some special military vehicles require the ability of determining their position and orientation rapidly and accurately, and the position and orientation system should be highly autonomous and have strong anti-jamming capability. So a high-accuracy independent position and orientation method for vehicles that utilizes strapdown inertial navigation system/Doppler radar is presented in this article. Laser gyroscopes in strapdown inertial navigation system and Doppler radar are adopted to develop a dead-reckoning system for vehicles. Subsequently, the attitude, velocity,and position-updating algorithms of dead-reckoning system are designed. The error sources of dead-reckoning system are analyzed to establish the system error model, including the attitude error equations of the mathematical platform, velocity error equations, and position error equations. The errors of strapdown inertial navigation system and deadreckoning system are selected as system states of the integrated position and orientation method. The difference between the attitude output of strapdown inertial navigation system and that of dead-reckoning system, and the difference between the position output of strapdown inertial navigation system and that of dead-reckoning system are chosen as the measurements of integrated position and orientation. Then, Kalman filter is adopted to design the filtering algorithm of integrated position and orientation. In the end, the integrated position and orientation method is validated by simulation experiment and vehicular experiment. The experimental results show that strapdown inertial navigation system/Doppler radar integration can realize accurate positioning and orientation for a long time, and the accuracy of attitude/position integration mode is significantly higher than that of velocity/position integration mode. Therefore, the former integration mode is more suitable for accurate position and orientation for vehicles.

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