Missile-Borne Radar Data Filtering Algorithm Based on the “Current” Statistical Model

Abstract:

An Extended Kalman Filter (EKF) based on the “current” statistical model is developed for detection of highly maneuvering target using missile-borne Pulse Doppler radar. The online recursive filtering algorithm was also developed to estimate the four dimensional variable: relative distance, velocity, azimuth and elevation angles. Identifying the mean acceleration of maneuvering targets real-timely while estimating the state could improve the tracking performance. Simulation results show that the “current” statistical model based on EKF filtering algorithm is adaptive to high target maneuvering.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 6965-6973
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.6965
• Online since: January 2012
• Authors: Hui Feng Li, Chao Li
• Keywords: “Current” Statistical Model, EKF, Highly Maneuvering, Missile-Borne PD Radar

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