CAJ | 학술논문

稳定分布可更好地描述实际中所遇到的具有显著脉冲特性的随机噪声.为了更好地抑制信号背景中的非高斯噪声,本文提出了基于分数低阶的双谱定义,并给出在分数低阶有色噪声背景下双谱非参数和参数模型的估计方法.仿真结果表明,同传统的双谱估计相比较,非参数法分数低阶双谱估计能有效的识别信号,保留了信号的幅度和相位信息,但存在较大的估计方差.基于AR模型的分数低阶双谱估计具有最大的谱平坦度,能够有效地抑制噪声,具有良好的韧性.
은정분포가경호지묘술실제중소우도적구유현저맥충특성적수궤조성.위료경호지억제신호배경중적비고사조성,본문제출료기우분수저계적쌍보정의,병급출재분수저계유색조성배경하쌍보비삼수화삼수모형적고계방법.방진결과표명,동전통적쌍보고계상비교,비삼수법분수저계쌍보고계능유효적식별신호,보류료신호적폭도화상위신식,단존재교대적고계방차.기우AR모형적분수저계쌍보고계구유최대적보평탄도,능구유효지억제조성,구유량호적인성.
Stable processes can better model the impulsive random signals and noises in physical observation. In order to sup-press the non-Gaussian noise, the bispectrum based on fractional lower order statistics is defined, and its estimation method was pro-posed. Simulation results shows that nonparametric bispectrum based on fractional lower order statistics is much effective for identifying signal compared with traditional bispectrum, and signal amplitude and phase are kept, but it still has big estimated variance. The new algorithm based on the parameter model of AR processes has maximal spectral flatness, and is much robust and effective for suppressing the fractional lower order noise.