Study on Data Fusion Algorithm of TCAS/ADS-B Integrated Surveillance System Based on the Present Statistical Model

2013 ◽  
Vol 427-429 ◽  
pp. 1311-1314
Author(s):  
Ya Jun Xu
Keyword(s):  
Data Fusion ◽  
Statistical Model ◽  
Collision Avoidance ◽  
Surveillance System ◽  
Position Error ◽  
Integrated System ◽  
Fusion Algorithm ◽  
Simulation Results ◽  
Collision Avoidance System ◽  
The Difference

The difference between Traffic Alert and Collision Avoidance System and Automatic Dependent Surveillance Broadcast surveillance principle was compared. A TCAS/ ADS-B integrated surveillance system based on the present statistical model was built. Using the data fusion algorithm, the optimal local track of TCAS and ADS-B ,as well as the optimal fused track of the integrated system were estimated. The simulation results show that the maximum optimal fused estimated position error is 100m, it is certificated that the integrated system can improve track estimates accuracy, improve the surveillance precision of TCAS.

A vessel management expert system

2002 ◽  
Vol 216 (2) ◽  
pp. 161-177 ◽  
Author(s):  
T Tran ◽  
C J Harris ◽  
P A Wilson
Keyword(s):  
Expert System ◽  
Collision Avoidance ◽  
Integrated System ◽  
System Structure ◽  
Sea State ◽  
Marine Transport ◽  
Simulation Results ◽  
Collision Avoidance System ◽  
Marine Navigation ◽  
Management Expert

A unified collision avoidance system is proposed to improve the efficiency and safety of marine transport, namely maritime avoidance navigation, totally integrated system (MANTIS). The principle behind its operation is to remove the difficulties and uncertainties involved in marine navigation through a system structure that makes marine transport deterministic rather than uncertain. Fundamental to its operation is a strategic interactive expert system that can determine safe and efficient navigation routes for all vessels as part of journey planning and en route collision avoidance. An important requirement is to take account of non-navigable areas, collision regulations, ship characteristics, sea state and sensor accuracy during evaluation. An outline of the MANTIS infrastructure is given, followed by a description of the vessel management system (VMES). Simulation results exemplify the significance of the system for future exploitation.

Application of Kalman Filter Technology to Integrated INS/DR Navigation System for Land Vehicle

2013 ◽  
Vol 411-414 ◽  
pp. 912-916 ◽  
Author(s):  
Ying Chen ◽  
Xia Jiang Zhang ◽  
Yuan Yuan Xue ◽  
Zhen Kang ◽  
Ting Shang
Keyword(s):  
Kalman Filter ◽  
Navigation System ◽  
Dead Reckoning ◽  
Position Error ◽  
Integrated System ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Attitude Error ◽  
Result Show ◽  
The Difference

Strap-down INS is composed of fiber gyroscope. Position error propagation equation and position update algorithm of dead reckoning is deduced in this paper. The Kalman filter is proposed for compensation error of integrated system. The difference of velocity between INS and DR is used as the input of Kalman filter, attitude error, velocity error, position error and scale factor error are to be estimated which compensate and rectify the errors of integrated navigation system. By carrying out experiment upon vehicular navigation system in use of Kalman filter, the errors of integrated navigation system are estimated accurately. Experiment result show that the method not only can effectively improve precision of the system, but also is simple and convenient, so it is more suitable for practical application.

Autonomous Collision Imminent Steering Maneuver in Presence of Surrounding Obstacles

2016 ◽  
Author(s):  
Rouhollah Jafari ◽  
Shuqing Zeng ◽  
Nikolai Moshchuk
Keyword(s):  
Path Planning ◽  
Real Time ◽  
Collision Avoidance ◽  
Geometric Method ◽  
Target Vehicle ◽  
Virtual Target ◽  
Planning Algorithm ◽  
Simulation Results ◽  
Collision Avoidance System ◽  
Path Planning Algorithm

In this paper, a collision avoidance system is proposed to steer away from a leading target vehicle and other surrounding obstacles. A virtual target lane is generated based on an object map resulted from perception module. The virtual target lane is used by a path planning algorithm for an evasive steering maneuver. A geometric method which is computationally fast for real-time implementations is employed. The algorithm is tested in real-time and the simulation results suggest the effectiveness of the system in avoiding collision with not only the leading target vehicle but also other surrounding obstacles.

scholarly journals Application of Multi-Source Data Fusion Method in Updating Topography and Estimating Sedimentation of the Reservoir

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3057
Author(s):  
Yu Liu ◽  
Shiguo Xu ◽  
Tongxin Zhu ◽  
Tianxiang Wang
Keyword(s):  
Data Fusion ◽  
Northeast China ◽  
Bottom Topography ◽  
Measurement Data ◽  
Average Error ◽  
Source Data ◽  
Sedimentation Volume ◽  
Simulation Results ◽  
The Difference ◽  
Total Sedimentation

The underwater terrain of a reservoir can experience significant changes due to the effects of erosion and siltation during decades of operation. Therefore, existing topographic data no longer reflect current reservoir terrains and need to be updated. In this paper, we propose a fast and economical method for updating the topography of a reservoir. According to multi-source data fusion, we effectively integrated sonar sounding data, cartographic data, and manual measurement data to update and reconstruct the bottom topography of a reservoir in Northeast China. By comparing the updated topography with the measured elevation, the average error of the simulation results is only 0.56%, which shows that the updated topography can accurately reflect the actual topography of the reservoir. Furthermore, by using the surface volume tool in ArcGIS, we developed the original and updated the elevation and volume curves of the reservoir. Finally, the amount of silting and its distribution in the reservoir were obtained by calculating the difference between the original and updated elevation and volume curves. The results show that the total sedimentation volume in the researching reservoir is about 4.3 million m3, which is mainly concentrated in the areas with an elevation below 50 m and above 60 m.

Data Fusion Algorithm for Asynchronous Radar Networks under Blanket Jamming

2012 ◽  
Vol 157-158 ◽  
pp. 1446-1452 ◽  
Author(s):  
Yan Li Zhao ◽  
Xiao Zun Ma ◽  
Xiang Dong Gao ◽  
Lei Yun ◽  
Shu Qin Fu
Keyword(s):  
Data Fusion ◽  
Target Tracking ◽  
State Vector ◽  
Processing Technique ◽  
High Accuracy ◽  
Observation Data ◽  
Fusion Algorithm ◽  
Batch Mode ◽  
Radar Networks ◽  
Simulation Results

Owing to the incompleteness and asynchronicity of the observation data, it is hard for the asynchronous netted radar to track its target effectively under intense blanket jamming. This paper presents a kind of data fusion algorithm for the asynchronous sensors based on optimal linearization approach, providing a solution to the problem of target tracking of radar networks under blanket jamming. First, the optimal linearization processing technique of the observation equation is derived. Then, based on this, the state vector of the target is initially estimated in batch mode. Finally, the filtering is processed in sequence. The simulation results show that the data fusion algorithm presented in the paper can track the target in high accuracy.

The Conflict Resolution Process for TCAS II and Some Simulation Results

1987 ◽  
Vol 40 (3) ◽  
pp. 283-303 ◽  
Author(s):  
R. L. Ford
Keyword(s):  
Conflict Resolution ◽  
Collision Avoidance ◽  
Computer Model ◽  
Fast Time ◽  
Threat Detection ◽  
Traffic Pattern ◽  
Simulation Results ◽  
Collision Avoidance System ◽  
Miss Distance ◽  
Warning Time

The paper is mainly concerned with the principles used by TCAS (Traffic alert and Collision Avoidance System) to resolve conflicts between airborne aircraft. It leans heavily on an earlier paper which describes the threat-detection process. The simulation results given were obtained using a fast-time computer model for random traffic and comprise statistics on miss distance, warning time, etc., for a simple traffic pattern.

Hierarchical Data Fusion in WSN Based on Mobile Agent

2014 ◽  
Vol 513-517 ◽  
pp. 1154-1159 ◽  
Author(s):  
Sheng Zhang ◽  
Hui Li Yang ◽  
Hou Jin Xiong
Keyword(s):  
Data Integration ◽  
Data Fusion ◽  
Power Consumption ◽  
Mobile Agent ◽  
Mobile Agents ◽  
Cluster Head ◽  
Singular Values ◽  
Hierarchical Data ◽  
Fusion Algorithm ◽  
Simulation Results

We put forward hierarchical data fusion in WSN, in which different fusion algorithm is used in each logic layer. The singular values are kicked out before data fusion with QCP (Quantization coding on precision) method in the cluster, while Difference comparison fusion algorithm are used between cluster head nodes. Mobile agents are used in above two layers. Simulation results demonstrate that the algorithm improves the accuracy of the data integration, lower power consumption and extend the life of the network.

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