摘要
为提高低信噪比条件下短时正弦信号的频率估计精度和扩展多段信号融合法的适用范围,提出一种利用多段倍频正弦信号进行加权融合的频率估计算法.为消除多段倍频正弦信号中各段信号频率不等对频谱分析的影响,根据各段信号间频率的倍数关系生成倍频修正矩阵,对多段倍频正弦信号频谱进行同频化处理.为消除各段信号相位不连续和时宽不等对频谱融合的影响,构造具有相位连续特性和噪声对消特性的加权因子,对同频化的多段倍频正弦信号频谱进行加权融合,得到最优加权融合频谱.最后,通过谱峰搜索最优加权融合频谱,实现高精度频率估计.仿真结果表明文中算法的频率估计精度较现有方法有较大提高,抗噪性好,普适性好.
Based on weight-fusion of multi-section sinusoids with the known frequency-ratio（MS-Sinusoids-KFR）,a frequency estimation algorithm is proposed.This algorithm aims at improving frequency estimation of the short sinusoid in a low signal-to-noise ratio（SNR）,and extending the applicable range of the multi-signals fusion method.According to the known frequency-ratio,the frequency-ratio amend matrix is created to deal with the spectrum problems caused by the known frequency-ratio of the MS-Sinusoids-KFR.To make phases coherence and noise elimination,spectrums of the MS-Sinusoids-KFR are weight-fused by the weighted factor.Consequently,precise frequency estimation can be obtained through spectral peak searching for the weight-fusion spectrum.Simulation results show that compared with the present methods,the proposed algorithm works better in frequency estimation,noise immunity and universality.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2012年第6期114-123,共10页
Journal of Xidian University
基金
国家自然科学基金资助项目(61271449
61201450
60871098)
重庆市自然科学基金资助项目(csct2012jjA0877
csct2012jjA1047
csct2011BA2015)
关键词
频率估计
加权融合
多段倍频正弦信号
噪声对消
frequency estimation
weight-fusion
multi-section sinusoids with the known frequency-ratio（MS-Sinusoids-KFR）
noise cancellation
