[1] 崔占忠, 宋世和, 徐立新. 近炸引信原理[M].第3版. 北京: 北京理工大学出版社, 2009:18-38. CUI Zhan-zhong, SONG Shi-he, XU Li-xin. Principle of proximity fuze[M]. 3rd ed. Beijing: Beijing Institute of Technology Press, 2009:18-38.(in Chinese) [2] 刘景萍, 赵惠昌, 黄文良. 无线电引信的有源干扰机理[J]. 制导与引信, 2001, 22(4):50-52. LIU Jing-ping, ZHAO Hui-chang, HUANG Wen-liang. Active jamming mechanism of radio fuzes[J]. Guidance & Fuze, 2001, 22(4):50-52.(in Chinese) [3] 李靖超. 基于三维熵特征的雷达信号识别[J]. 上海电机学院学报, 2015, 18(3):136-140. LI Jing-chao. Radar signal recognition based on three dimensional entropy features[J]. Journal of Shanghai Dianji University, 2015, 18(3):136-140.(in Chinese) [4] 白航, 赵拥军, 沈伟,等. 基于时频分布Rényi熵特征的雷达辐射源识别[J]. 电路与系统学报, 2013, 18(1):437-442. BAI Hang, ZHAO Yong-jun, SHEN Wei, et al. Radar emitter recognition based on Rényi entropy of time-frequency distribution[J]. Journal of Circuits and Systems, 2013, 18(1): 437-442.(in Chinese) [5] 谢平, 杜义浩, 黄双峰. 基于信息熵的复杂机械系统非线性特征提取方法研究[J]. 振动与冲击, 2008, 27(7):135-137. XIE Ping, DU Yi-hao, HUANG Shuang-feng. Research on non-linear feature extracting method of complex mechanical system based on information entropy[J]. Journal of Vibration and Shock, 2008, 27(7):135-137.(in Chinese) [6] 马建华, 刘宏伟, 保铮. 固定翼飞机和直升机的分类方法研究[J]. 现代雷达, 2004, 26(12):45-48. MA Jian-hua, LIU Hong-wei, BAO Zheng. Research on helicopter and fixed-wing aircraft classification[J]. Modern Radar, 2004, 26(12):45-48.(in Chinese) [7] 蒋正新, 施国梁. 矩阵理论及应用[M]. 北京: 北京航空学院出版社, 1988:87-95. JIANG Zheng-xin, SHI Guo-liang. Matrix theory and application[M]. Beijing: Beijing Aeronautical Institute Press, 1988:87-95.(in Chinese) [8] 高清清, 贾民平. 基于EEMD的奇异谱熵在旋转机械故障诊断中的应用[J]. 东南大学学报: 自然科学版, 2011, 41(5):998-1001. GAO Qing-qing, JIA Min-ping. EEMD method based singular value spectral entropy in fault diagnosis of rotating machinery[J]. Journal of Southeast University: Natural Science Edition, 2011, 41(5):998-1001.(in Chinese) [9] 陶卿, 刘欣, 唐升平,等. 基于支持向量机的弹道识别及其在雷达弹道外推中的应用[J]. 兵工学报, 2005, 26(3):308-311. TAO Qing, LIU Xin, TANG Sheng-ping, et al.Support vector machine-based trajectory recognition with applications in the adjustment of radar trajectory prediction[J]. Acta Armamentarii, 2005, 26(3):308-311.(in Chinese) [10] 陈冰梅, 樊晓平, 周志明,等. 支持向量机原理及展望[J]. 制造业自动化, 2010, 32(12):136-138. CHEN Bing-mei, FAN Xiao-ping, ZHOU Zhi-ming, et al. The principle and prospect of support vector machine[J]. Manufacturing Automation, 2010, 32(12): 136-138.(in Chinese) [11] 李坤, 刘鹏, 吕雅洁,等. 基于Spark的LIBSVM参数优选并行化算法[J]. 南京大学学报:自然科学, 2016, 52(2):343-352. LI Kun, LIU Peng, LYU Ya-jie, et al. The parallel algorithms for LIBSVM parameter optimization based on Spark[J]. Journal of Nanjing University:Natural Sciences,2016, 52(2):343-352. (in Chinese) [12] 陈慧玲. 调频连续波无线电引信目标与干扰信号识别方法[D]. 北京: 北京理工大学, 2015. CHEN Hui-ling. On recognition of target and interference signal for FM-CM radio proximity fuze[D]. Beijing: Beijing Institute of Technology, 2015.(in Chinese)
第38卷 第2期2017 年2月兵工学报ACTA ARMAMENTARIIVol.38No.2Feb.2017
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