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反潜直升机目标特性探测与识别方法的研究
引用本文:李媛.反潜直升机目标特性探测与识别方法的研究[J].系统仿真学报,2004,16(5):1071-1073.
作者姓名:李媛
作者单位:北京联合大学自动化学院,北京100101
摘    要:针对反潜直升机空中辐射噪声信号的特点,分析了选取Marr小波函数的理论原因,详细描述了采用连续小波变换实现反潜直升机目标信号特征提取的方法;并结合模糊识别技术,成功地实现了复杂信号的特征分离,准确地识别出反潜直升机独特的目标特性,为研制反击反潜直升机武器提供了重要理论基础和实践工具。

关 键 词:小波变换  模糊识别  特征提取  反潜直升机
文章编号:1004-731X(2004)05-1071-03
修稿时间:2003年3月9日

Research on the Method of Detection and Recognition of Antisubmarine Helicopter Characters Signal
LI Yuan.Research on the Method of Detection and Recognition of Antisubmarine Helicopter Characters Signal[J].Journal of System Simulation,2004,16(5):1071-1073.
Authors:LI Yuan
Abstract:In accordance to the characters of antisubmarine helicopter radiation noise signal in air, this paper adopts Marrwavelet function to process the signal. The method of applying continuous wavelet transform to extract antisubmarinehelicopter characters signal is presented in detail in this paper. Characteristics division of complex signal and recognition accurate antisubmarine helicopter object characters are achieved successfully for utilizing the fuzzy recognition technology, which is an important theory foundation and a tool for developing weapons of striking back antisubmarine helicopter.
Keywords:wavelet transform  fuzzy recognition  characters extracting  antisubmarine helicopter
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