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A new multi-node cooperarive interference detection and recognition algorithm based on SVM

机译:基于支持向量机的多节点协作干扰检测与识别新算法

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Support vector machine (SVM), as a machine learning method based on data, is a theory of machine learning's law based on data in a limited number of data. We introduce the framework of multi-node cooperative interference detection and recognition algorithm, supply SVM to this field and realize cooperation among each node by transmitting interference signal's feature parameters. Based on simulation result, this method makes it possible to improve system's detection and recognition performance in the case of reducing cooperative detection and recognition's cost.
机译:支持向量机(SVM)作为一种基于数据的机器学习方法,是一种基于有限数量的数据中的机器学习定律的理论。介绍了多节点协作干扰检测与识别算法的框架,为该领域提供支持向量机,并通过传输干扰信号的特征参数实现各节点之间的协作。基于仿真结果,该方法可以在降低协同检测和识别成本的情况下提高系统的检测和识别性能。

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