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This paper presents a multi-sensor data simulator and a data fusion algorithm for tracking high dynamic flight target from Radar and Telemetry System. The designed simulator generates time-asynchronous multiple sensor data with different data rates and communication delays. Measurement noises are incorporated by using realistic sensor models. The proposed fusion algorithm is designed by a 21st order distributed Kalman Filter which is based on the PVA model with sensor bias states. A fault detection and correction logics are included in the algorithm for bad data and sensor faults. The designed algorithm is verified by using both simulation data and actual real data.⨀ጊ漀Ѐ㔴〻Ԁ䭃䑎䷙᜕೺5㐸⸵㬅K䍄乍

Design of a Multi-Sensor Data Simulator and Development of Data Fusion Algorithm