復(fù)雜目標的時頻特征提取及識別方法研究
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)雜目標的時頻分布,得出目標在較大方位角變化范圍內(nèi)其時頻分布具有相對不變性的特點,而后,基于這穩(wěn)定的時頻特征,給出了目標識別方法。對三種飛機模型測量數(shù)據(jù)的識別結(jié)果表明,該方法有高的識別率和識別的魯棒性。
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關(guān)鍵詞:
- 時頻分析; WD變換; 特征提取; 目標識別
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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