CAJ | 학술논문

主瓣范围内的频谱信息是频谱分析方法的主要研究对象,其中包含的噪声分量对频谱分析精度影响较大.该文首先参照 SNR 的数学定义提出主瓣谱失真度(MSD)概念,以定量描述频谱分析结果的可信度.然后为举例说明 MSD 与频谱分析误差之间的良好关联性,进行能量重心式相位测量仿真实验,结果表明:相比于 SNR, MSD能更准确地跟踪该相位测量误差曲线的变化.最后给出了详细的 MSD 自估计算法,该算法可以在不测量频率和初相的条件下直接估计 MSD,且精度较高,抗噪性、实时性好.
주판범위내적빈보신식시빈보분석방법적주요연구대상,기중포함적조성분량대빈보분석정도영향교대.해문수선삼조 SNR 적수학정의제출주판보실진도(MSD)개념,이정량묘술빈보분석결과적가신도.연후위거례설명 MSD 여빈보분석오차지간적량호관련성,진행능량중심식상위측량방진실험,결과표명:상비우 SNR, MSD능경준학지근종해상위측량오차곡선적변화.최후급출료상세적 MSD 자고계산법,해산법가이재불측량빈솔화초상적조건하직접고계 MSD,차정도교고,항조성、실시성호.
Spectrum informations in the scope of the mainlobe are the main research object of spectrum analysis methods, in which noise component always decreases the accuracy of spectrum analysis. Firstly, the concept of the Mainlobe Spectrum Distortion (MSD), according to the mathematical definition of SNR, is proposed to describe the confidence level of spectrum analysis results quantitatively. Then, to show the obvious relationship between MSD and the error of spectrum analysis, some phase measurements using energy gravity method are carried out as examples, whose results show that, MSD can trace the error curve of phase measurements more closely than that of SNR. Finally, a MSD self-estimation algorithm is provided in details, which can estimate MSD quickly with high accuracy and good anti-noise performance, without measureing the frequency and initial phase.