A maneuvering target tracking method based on Gauss-Aikten filter

摘要

A method that tracking maneuvering target using Gauss-Aikten filter is proposed to improve the performance of strong maneuvering target tracking which is a weakness of Kalman filter. State transition equations, measurement equations and total observation equations of Gauss-Aikten filter are derived. Total observation matrix is constructed via the alterable filter model and filter memory adaptively based on measurement data in each filter cycle, thus Gauss-Aikten filter have good flexibility on tracking strong maneuvering target. Performance of the Gauss-Aikten filter is evaluated via a scenario for maneuvering target tracking. Simulation results demonstrated the effectiveness of Gauss-Aikten filter compared with other three modified interacting multiple-model (IMM) algorithm.