適于一維散射中心識別的模糊分類器
A Fuzzy Classifier for Radar Target Recognition Using One-Dimensional Scattering Centres
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摘要: 該文研究了雷達目標(biāo)一維散射中心的提取及其特性,針對一維散射中心的特點,提出了一種基于模糊分布的分類器。該分類器對特征矢量長度沒有一致性要求,并可根據(jù)測試樣本靈活選擇訓(xùn)練樣本,有效地解決了以一維散射中心為特征的識別問題。
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關(guān)鍵詞:
- 雷達目標(biāo)識別; 一維散射中心; 模糊分類器
Abstract: In this paper, one-dimensional scattering centre extraction of radar targets is reviewed. A new classifier based on fuzzy distribution is proposed, which is very much suitable for one-dimensional scattering centre classification. The fuzzy classifier does not require the feature vectors to have the same dimension and allows the training samples to be flexibly chosen for different test samples. Theoretical analysis and simulation results show that the proposed fuzzy classifier can efficiently solve the problem of radar target recognition using one-dimensional scattering centres. -
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