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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。
Aiming at the optimization method of target fusion trajectory quality in data fusion system of intelligence radar network, starting from the role of people in the fusion system, through the data mining, the way to optimize the quality of the fusion trajectory is proposed, and the adaptive method based on fuzzy theory Smoothing method, the moving average method is improved, the second smoothing method is obtained, and the fuzzy reasoning is integrated into the parameter adaptive adjustment. The experiment proves that this method can improve the quality of the fusion track of the system well and provide users with the fusion situation data of high quality and high reliability.