雷达信号识别关键技术研究
发布时间：2018-08-09 10:13
【摘要】：雷达信号识别是电子情报侦察的关键信号处理过程，也是电子对抗信号处理研究中的热点和难点。在现代电子战环境中，雷达信号具有形式复杂、参数多变和频率动态变化范围大等特点，密集复杂的信号环境会导致脉冲同时或相继到达接收机并重叠或交叠在一起。因此，很多国内外研究人员都致力于研究分析和提取有效的信号特征，以实现雷达信号的识别。 本文对雷达信号识别技术进行了研究，其关键技术包括信号分选、重频模式鉴别和脉内特征识别。围绕重频模式鉴别技术，，采用基于参数驻留比特征的提取算法，在脉冲丢失率为60%且存在5%的虚假脉冲的条件下对算法中的容差参数E进行修正，将其修正为PRI均值的9%时可有效地鉴别5种重频模式。针对脉内调制特征识别技术，采用决策树准则，综合相位重构算法，频域矩峰度系数和小波系数特征，设计了适用于混合雷达信号脉内特征提取的流程图，在信噪比为5dB的条件下验证了该流程图可有效的分离混合雷达信号，实现了雷达信号脉内特征识别。
[Abstract]:Radar signal recognition is a key signal processing process in electronic intelligence reconnaissance, and it is also a hot and difficult point in the research of electronic countermeasure signal processing. In the modern electronic warfare environment, radar signals are characterized by complex form, variable parameters and large frequency dynamic range. The dense and complex signal environment will lead to pulse arriving at the receiver at the same time or one after another and overlapping or overlapping together. Therefore, many researchers at home and abroad are devoted to research, analysis and extraction of effective signal features to achieve radar signal recognition. In this paper, the radar signal recognition technology is studied. The key technologies include signal sorting, repetition pattern identification and intra-pulse feature recognition. Based on the feature extraction algorithm of parameter dwell ratio, the tolerance parameter E of the algorithm is modified under the condition that the pulse loss rate is 60% and the false pulse is 5%. When modified to the PRI mean of 9, it can effectively identify five repetition modes. In view of the intra-pulse modulation feature recognition technology, using the decision tree criterion, the phase reconstruction algorithm, the moment kurtosis coefficient in frequency domain and the wavelet coefficient feature, the flow chart suitable for feature extraction in the pulse of mixed radar signal is designed. When the SNR is 5dB, it is proved that the flow chart can effectively separate the mixed radar signal and realize the feature recognition in the pulse of the radar signal.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
本文编号：2173753
[Abstract]:Radar signal recognition is a key signal processing process in electronic intelligence reconnaissance, and it is also a hot and difficult point in the research of electronic countermeasure signal processing. In the modern electronic warfare environment, radar signals are characterized by complex form, variable parameters and large frequency dynamic range. The dense and complex signal environment will lead to pulse arriving at the receiver at the same time or one after another and overlapping or overlapping together. Therefore, many researchers at home and abroad are devoted to research, analysis and extraction of effective signal features to achieve radar signal recognition. In this paper, the radar signal recognition technology is studied. The key technologies include signal sorting, repetition pattern identification and intra-pulse feature recognition. Based on the feature extraction algorithm of parameter dwell ratio, the tolerance parameter E of the algorithm is modified under the condition that the pulse loss rate is 60% and the false pulse is 5%. When modified to the PRI mean of 9, it can effectively identify five repetition modes. In view of the intra-pulse modulation feature recognition technology, using the decision tree criterion, the phase reconstruction algorithm, the moment kurtosis coefficient in frequency domain and the wavelet coefficient feature, the flow chart suitable for feature extraction in the pulse of mixed radar signal is designed. When the SNR is 5dB, it is proved that the flow chart can effectively separate the mixed radar signal and realize the feature recognition in the pulse of the radar signal.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
【参考文献】
相关期刊论文 前10条
1 熊刚;杨小牛;赵惠昌;;脉间伪随机二相码与线性调频复合调制探测系统[J];兵工学报;2007年04期
2 胡泽宾;赵惠昌;涂有超;;伪随机码调相与正弦调频复合引信[J];弹箭与制导学报;2004年S5期
3 李杨寰;初翠强;徐晖;周一宇;;一种新的脉冲重复频率估计方法[J];电子信息对抗技术;2007年02期
4 王勇;姜义成;;多项式相位信号瞬时频率变化率估计及其应用[J];电子学报;2007年12期
5 黄晓红;邓振淼;;改进的相位展开算法及其在瞬时频率估计中的应用[J];电子学报;2009年10期
6 赵敏;吴卫山;;线性调频信号特性分析[J];航空兵器;2009年01期
7 李玉才,杨绍全;脉冲多普勒雷达识别中的信号调制信息提取[J];航天电子对抗;2004年03期
8 李明孜,赵惠昌;一种正弦调频信号的数字解调技术研究[J];航天电子对抗;2005年03期
9 邹顺;靳学明;张群飞;;一种雷达信号脉内调制特征分析方法[J];航天电子对抗;2006年01期
10 周昌术;王健鹏;柳征;程洪玮;;一种新的重频特征识别方法[J];航天电子对抗;2007年05期
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