20222022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)Requires access

Kalman Filter and Proportional Navigation Based Missile Guidance System

Sai Surya Teja Gontumukkala, Yogeshwara Sai Varun Godavarthi, Bhanu Rama Ravi Teja Gonugunta, R Subramani

Open publisher page 7 citations

Abstract

Missile Guidance involves guiding the missile to its target. The target's accuracy has a huge impact on its effectiveness. In this paper, the Kalman Filter and the Proportional Navigation (PN) algorithm are used for missile guidance. It is a guidance, navigation, and control (GNC) system for a missile. A fully adaptive Kalman filter that processes a measurement every n milli-second is designed. The Kalman filter estimates the guidance signals for an augmented PN, the rate of the line of sight (LOS), and the target's normal acceleration. A comparative study for missile guidance was done by using different navigation algorithms and filters.

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What this paper is about

Missile Guidance involves guiding the missile to its target. The target's accuracy has a huge impact on its effectiveness. In this paper, the Kalman Filter and the Proportional Navigation (PN) algorithm are used for missile guidance. It is a guidance, navigation, and control (GNC) system for a missile. A fully adaptive Kalman filter that processes a measurement every n milli-second is designed. The Kalman filter estimates the guidance signals for an augmented PN, the rate of the line of sight (LOS), and the target's normal acceleration. A comparative study for missile guidance was done by using different navigation algorithms and filters.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Missile Guidance involves guiding the missile to its target. The target's accuracy has a huge impact on its effectiveness. In this paper, the Kalman Filter and the Proportional Navigation (PN) algorithm are used for missile guidance. It is a guidance, navigation, and control (GNC) system for a missile. A fully adaptive Kalman filter that processes a measurement every n milli-second is designed. The Kalman filter estimates the guidance signals for an augmented PN, the rate of the line of sight (LOS), and the target's normal acceleration. A comparative study for missile guidance was done by using different navigation algorithms and filters.

Key concepts: Missile, Proportional navigation, Kalman filter, Missile guidance, Guidance system, Acceleration, Extended Kalman filter, Computer science

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