復(fù)雜目標(biāo)的時(shí)頻特征提取及識(shí)別方法研究
TIME-FREQUENCY SIGNATURE EXTRACTING OF COMPLEX TARGET AND ITS RECOGNITION ALGORITHM
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摘要: 本文首先研究了復(fù)雜目標(biāo)的時(shí)頻分布,得出目標(biāo)在較大方位角變化范圍內(nèi)其時(shí)頻分布具有相對(duì)不變性的特點(diǎn),而后,基于這穩(wěn)定的時(shí)頻特征,給出了目標(biāo)識(shí)別方法。對(duì)三種飛機(jī)模型測(cè)量數(shù)據(jù)的識(shí)別結(jié)果表明,該方法有高的識(shí)別率和識(shí)別的魯棒性。
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關(guān)鍵詞:
- 時(shí)頻分析; WD變換; 特征提取; 目標(biāo)識(shí)別
Abstract: In this paper, the time-frequency characteristics of complex targets are studied and the stability of time-frequency distribution of complex target is obtained with the aspect throughout the large angle range. Based on these table signatures, recognition algorithm is proposed. The experiments of recognition using the data of three kinds of aircraft target models are performed, and demonstrate that there are high recognition performance and robust recognition algorithm. -
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