Abstract
This paper addresses the compensation problem of the missile radome aberration error using the interacting multiple model (IMM) algorithm. To compensate the radome error, the proposed method estimates the radome slope by applying the modified IMM algorithm. In the proposed approach, the mode probability update in the IMM algorithm is redefined for improving performance of the radome slope estimation by reflecting the recent tendency of the radome slope hypotheses. This is enabled by utilizing the new weighting function including previous information of likelihood function and mode probability during certain period. Besides, by designating boresight error and LOS rate as the state for the system model, the linear estimation technique is used instead of the nonlinear estimation method. Therefore, the proposed method is suitable for the real-time implementation due to the linear filter structure. Through the simulation results on the typical engagement missile-target scenario, the reliability and performance of the proposed radome slope estimator is evaluated.
Original language | English |
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Title of host publication | International Conference on Control, Automation and Systems |
Publisher | IEEE Computer Society |
Pages | 391-395 |
Number of pages | 5 |
ISBN (Electronic) | 9788993215069 |
DOIs | |
Publication status | Published - 2014 Dec 16 |
Event | 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of Duration: 2014 Oct 22 → 2014 Oct 25 |
Publication series
Name | International Conference on Control, Automation and Systems |
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ISSN (Print) | 1598-7833 |
Other
Other | 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 |
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Country/Territory | Korea, Republic of |
City | Gyeonggi-do |
Period | 14/10/22 → 14/10/25 |
Bibliographical note
Publisher Copyright:© 2014 Institute of Control, Robotics and Systems (ICROS).
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering