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一种对间歇采样转发干扰的识别新方法
引用本文:蒋莹,何明浩,郁春来,王冰切. 一种对间歇采样转发干扰的识别新方法[J]. 火力与指挥控制, 2016, 0(7): 152-156. DOI: 10.3969/j.issn.1002-0640.2016.07.035
作者姓名:蒋莹  何明浩  郁春来  王冰切
作者单位:空军预警学院,武汉,430019
摘    要:间歇采样转发干扰是一种针对相干雷达的有效干扰样式,该类干扰的抑制技术研究需求迫切,而干扰识别历来是抗干扰流程中的关键环节,针对间歇采样转发干扰的识别问题,提出了一种基于关联维数的干扰识别方法。通过对3类间歇采样转发干扰信号进行傅里叶变换,挖掘信号频谱上的差异,提取频域关联维数作为干扰识别的特征参数,并利用支持向量机进行分类识别,为后续雷达系统采取针对性抗干扰措施提供重要的决策信息。仿真结果证明该方法具有较高的识别率。

关 键 词:间歇采样  干扰识别  特征提取  关联维数  支持向量机

A Novel Method of Interrupted-sampling Repeater Jamming Recognition Based on Correlation Dimension
Abstract:Interrupted-sampling repeater jamming (ISRJ) is a valid jamming mode to coherent radar. It is an urgent demand for ISRJ suppression studying. As jamming recognition is the key link of the anti-jamming system,the fractal theory to recognition of ISRJ is applied and an jamming recognition scheme based on fractal correlation dimension is proposed. Firstly,we analyze the frequency spectrum of jamming signals is analyzed. Then the fractal correlation dimension is extracted and allowed to be the characteristic parameter of classified recognition. Finally the support vector machine (SVM) is adopted to classify the target and jamming so that priori information can be provided for radar system to select anti-jamming method. The simulation results show high recognition probability.
Keywords:interrupted-sampling  jamming recognition  feature extraction  correlation dimension  support vector machine
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