一種基于時(shí)頻分析的窄帶雷達(dá)飛機(jī)目標(biāo)分類特征提取方法

趙越; 陳之純; 糾博; 張磊; 劉宏偉; 李真芳

doi:10.11999/JEIT161204

一種基于時(shí)頻分析的窄帶雷達(dá)飛機(jī)目標(biāo)分類特征提取方法

doi: 10.11999/JEIT161204

基金項(xiàng)目:

國家自然科學(xué)基金(61671351)，國家杰出青年科學(xué)基金(61525105)

計(jì)量
- 文章訪問數(shù): 1511
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- PDF下載量: 262
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-11-08
- 修回日期: 2017-06-05
- 刊出日期: 2017-09-19

Narrowband Aircraft Targets Feature Extraction and Classification Based on Time-frequency Analysis

Funds:

The National Natural Science Foundation of China (61671351), The National Science Fund for Distinguished Young Scholars (61525105)

摘要

摘要: 針對(duì)低信噪比情況下窄帶雷達(dá)目標(biāo)分類問題，該文提出基于時(shí)頻分析的窄帶雷達(dá)飛機(jī)目標(biāo)分類特征提取方法。該方法利用噴氣式飛機(jī)、螺旋槳飛機(jī)和直升機(jī)3類目標(biāo)調(diào)制周期的差異，提取時(shí)頻譜域的熵值變化特性，并給出時(shí)頻分析中窗函數(shù)長(zhǎng)度的優(yōu)化選擇方法?；诜抡婧蛯?shí)測(cè)數(shù)據(jù)的實(shí)驗(yàn)結(jié)果表明，該文方法可以在低信噪比情況下顯著提升飛機(jī)目標(biāo)正確分類概率。
- 目標(biāo)分類 /
- 時(shí)頻分析 /
- 特征提取 /
- 低信噪比 /
- 熵值
Abstract: A new feature extraction method based on time-frequency analysis is proposed for aircraft targets classification under low signal-to-noise ratio. This method uses the variances of time-domain modulation periods of jet aircraft, propeller aircraft and helicopter to extract the variation of entropy in the time-frequency domain and gives a way to select optimal window lengths. Experimental result based on simulated data and measured data demonstrates that the proposed method can significantly improve the classification probability of aircraft targets under low signal-to-noise ratio.
- Targets classification /
- Time-frequency analysis /
- Feature extraction /
- Low signal-to-noise ratio /
- Entropy

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參考文獻(xiàn)(25)

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