칼만 필터들의 비교 및 방어 체계에 대한 적용
Comparison of the Kalman fitlers and applications on Defense system
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Detection and tracking are fundamental system-level issues in wireless sensor networks and military operations because they can provide very important measurements which help us to determine the method of reaction. All systems in the real world can't avoid inevitable errors which occurred in the observation samples. There are possible ways which can improve accuracy. This paper deals with methods to detect, evaluate and estimate all information of the devices given the current information with confidence. The primary objective of this research was to use different Kalman filters such as the Extended Kalman filter(EKF) and the Unscented Kalman filter(UKF) with purpose of evaluating them and finding the selective way to choose suitable filter based on given condition and requirement. It was performed with theoretical way and simulations. The results that will be discussed in this paper help to characterize the Kalman filters in application terms. The second goal was to implement the integrated ground and low altitude defense algorithms by using Kalman filters which satisfy the assumptions and qualifications.
Abstract
Detection and tracking are fundamental system-level issues in wireless sensor networks and military operations because they can provide very important measurements which help us to determine the method of reaction. All systems in the real world can't avoid inevitable errors which occurred in the observation samples. There are possible ways which can improve accuracy. This paper deals with methods to detect, evaluate and estimate all information of the devices given the current information with confidence. The primary objective of this research was to use different Kalman filters such as the Extended Kalman filter(EKF) and the Unscented Kalman filter(UKF) with purpose of evaluating them and finding the selective way to choose suitable filter based on given condition and requirement. It was performed with theoretical way and simulations. The results that will be discussed in this paper help to characterize the Kalman filters in application terms. The second goal was to implement the integrated ground and low altitude defense algorithms by using Kalman filters which satisfy the assumptions and qualifications.
참고문헌 (2)
- Mathieu St-Pierre, "Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system", Intelligent vehicles symposium IEEE (2004)
- BAHL, P., "An In-Building RF-based User Location and Tracking System", Proc. IEEE INFOCOM (2000)