西安电子科技大学学报（自然科学版）2012，Vol.39Issue(5)：35-41,7.DOI:10.3969/j.issn.1001-2400.2012.05.007
参数逼近的自适应时频分析
Adaptive time-frequency analysis based on the parameter decomposition
摘要
Abstract
Aiming at the influence of cross terms in the secondary time-frequency transformation, we have studied a kind of time-frequency analysis method based on signal decomposition. Combined with Gaussian extraction thoughts and excellent characteristics of WVD, the signal is decomposed into several chirp signal with gauss envelope components. And then through WVD time-frequency transform and comprehensive display of time-frequency diagrams, the influence of cross terms is eliminated with the signal's time-frequency aggregation degrees maintained. The time-frequency analysis method is applied to radar signal analysis. Experimental results show that this decomposition method effectively eliminates the cross terms of the signal, and maintains its time-frequency aggregation degrees.关键词
二次时频变换/维格纳-威利分布/自适应时频分析/chirp信号Key words
second time-frequency transform/Wigner-Ville distribution/adaptive time-frequency analysis/ chirp signal分类
信息技术与安全科学引用本文复制引用
王海,马琳丽,张敏..参数逼近的自适应时频分析[J].西安电子科技大学学报（自然科学版）,2012,39(5):35-41,7.基金项目
国家自然科学基金资助项目(10703004) （10703004）
中央高校基本科研业务费专项资金资助项目(JY10000904004) （JY10000904004）
