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。
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.
出处
《系统仿真学报》
CAS
CSCD
2004年第5期1071-1073,共3页
Journal of System Simulation
关键词
小波变换
模糊识别
特征提取
反潜直升机
wavelet transform
fuzzy recognition
characters extracting
antisubmarine helicopter
