Time and Spatial Registration and Target Tracking for Multiple Airborne Mobile Platforms and Sensors

The problem of time and spatial registration and target tracking for multiple airborne mobile platforms and sensors with asynchronous measurements in a fusion system is considered. A time alignment method with the asynchronous measurements of multiple mobile sensors is presented based on least-square technique. A inethod of spatial registration for multiple airborne mobile sensors is given. The registration errors and target states are incorporated into an augmented dynamic model and an extended Kalman filter (EKF) algorithm is used to estimate both the registration errors and target states simultaneously. Computer simulations show the effectiveness of the proposed time and spatial registration and target tracking algorithm for multiple airborne mobile platforms and sensors. Compared with conventional registration method, the algorithm proposed in this paper is of faster convergence rate and hgher accuracy.

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