scholarly journals A Dynamic-Weighted Attenuation Memory Extended Kalman Filter Algorithm and Its Application in the Underwater Positioning

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bo Guo ◽  
Jianye Ma ◽  
Cui Wang
Keyword(s):  
Kalman Filter ◽  
Attenuation Coefficient ◽  
Extended Kalman Filter ◽  
Attenuation Factor ◽  
Model Verification ◽  
Dynamic Selection ◽  
Underwater Positioning ◽  
Kalman Filter Algorithm ◽  
Statistical Form ◽  
The Ideal

Extended Kalman filter (EKF) plays an important role in the acoustic signal processing of underwater positioning. However, accumulative errors and model inaccuracies lead to divergence. Then, attenuation memory EKF is created in response to this issue which needs to manually select all or part of the parameters. Thus, a dynamic-weighted attenuation memory EKF is proposed. Firstly, several underwater positioning simulations under different conditions are carried out. Results show, with the change of parameter conditions in positioning, the ideal attenuation coefficient changes between 0.5 and 1, but it is difficult to express it in function formula or statistical form. Secondly, a dynamic selection method of attenuation factor is designed. In the later contrast simulation, the proposed method has improved the positioning performance compared with the existing attenuation memory filter algorithm. Finally, the results of physical model verification experiment show that the dynamic-weighted attenuation memory EKF algorithm not only suppresses divergence better but also avoids the subjectivity of attenuation coefficient selection to a certain extent.

The p53–Mdm2 regulation relationship under different radiation doses based on the continuous–discrete extended Kalman filter algorithm

2018 ◽  
Vol 273 ◽  
pp. 230-236 ◽  
Author(s):  
Yurong Li ◽  
Jun Chen ◽  
Li Jiang ◽  
Nianyin Zeng ◽  
Haiyan Jiang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Radiation Doses ◽  
Kalman Filter Algorithm

Kalman Filter Algorithm Based Optimal Power Dispatch In Multinode System

2017 ◽  
Vol 8 (4) ◽  
pp. 1863
Author(s):  
M. Vijay Albert William ◽  
M. Rajeev Kumar ◽  
K. Bhaskar ◽  
K. Durairaj
Keyword(s):  
Kalman Filter ◽  
Distribution Systems ◽  
Geographic Region ◽  
Optimal Power ◽  
Power Dispatch ◽  
The World ◽  
Kalman Filter Algorithm ◽  
Power Utilities ◽  
Transmission And Distribution ◽  
The Ideal

Deregulation can be characterized as the way toward evacuating the limitations and controls to accomplish focused discount costs without trading off sufficiency, framework dependability and security. In deregulation prepare there exist no. of purchasers and merchants. Where the offering and purchasing of force happen through various components is called control advertise. The utilization of the hereditary calculation to take care of the ideal power dispatch issue for a multi-hub sell off the market is proposed. The ideal power dispatch issue is a non-straight streamlining issue with a few requirements. The target of the proposed hereditary calculation is to amplify the aggregate member's advantage at all hubs in the framework. The proposed calculation is easy to execute and can undoubtedly consolidate extra requirements. The calculation was tried on a 17-hub, 26-line framework. The outcomes have demonstrated that the proposed calculation yields great outcomes that are steady with the run of the mill showcase conduct.Introduction in 1988 all electric power utilities all through the world worked with a hierarchical model in which one is controlling expert the utility worked the era, Transmission, and Distribution Systems situated in a fixed geographic region. Financial specialists for quite a while had addressed whether this syndication association was productive.

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