A Method of Adaptive Data Smoothing Based on Fuzzy Theory

Integration track quality optimization methods in data fusion system of the intelligence radar network is studied. By considering the role of people in the fusion system, by data mining, we start to find ways to optimize the quality of the fused track, and then data adaptive smoothing method based on fuzzy theory proposed. With this method, moving average method is improved and second smoothing method is gotten, also fuzzy theory is used for data adaptive smoothing. The experiments show that this method can greatly improve the quality of the data fusion track quality, providing high-quality, high reliability fusion data for users.