摘要
为了提高用小波分析方法进行信号处理的性能,提出了一种根据信号自身特点选择小波基的新算法,即用离散信号的幅值差分表征信号的规则性,根据规则性选取相应的小波基组,然后比较在不同小波基下进行分解的小波系数,系数最大的即为最佳小波基.确定小波基种类后,进一步根据信号检测的目的确定小波分解层数.采用这一方法对卫星激光链路中的遥测信号进行分析,准确定位了光电轴角编码器的不同故障.
To improve the performance of wavelet analysis in signal feature extraction,a new algorithm for wavelet basis selection was proposed according to the characteristic of the detected signal. The regularity of the signal was represented by the amplitude differential. Subsequently,the corresponding wavelet group was determined. Then the most suitable basis was obtained by comparing the energies of wavelet coefficients based on different wavelet basis on the fixed level. After the basis was chosen,the level of decomposition was det ermined by the purpose of signal processing. The proposed method is simple and proved to be accurate when applied to the fault diagnosis of photoelectric encoders used in the space optical communication.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第7期103-106,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金重大合作项目(607201060062)
关键词
空间光通信
遥测信号分析
故障诊断
小波基
自适应
space optical communication telemetering signal analysis fault diagnosis wavelet basis adaptive
