针对情报雷达组网数据融合系统中目标融合航迹质量的优化方法进行研究，从人在融合系统中的作用出发，通过数据挖掘，寻找融合航迹质量优化途径，提出了基于模糊理论的自适应平滑方法，对移动平均法进行改进，得到二次平滑方法，并将模糊推理融入到其参数自适应调节。试验证明：该方法可很好地提高系统的融合航迹质量，为用户提供了高质量、高可靠性的融合态势数据。

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.

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