CAJ | 학술논문

该文介绍了奇异值分解检测信号的原理，研究了井下电磁脉冲数据传输中接收到的瞬变信号和噪声的奇异值分布特性，提出了相邻奇异值增量的概念，并根据瞬变信号和噪声相邻奇异值增量的不同，区分信号与噪声。在此基础上，提出了自适应选择主奇异值个数的奇异值分解检测瞬变信号的方法，并给出该方法检测瞬变信号的具体流程。仿真结果表明，与传统奇异值分解相比，该方法检测微弱瞬变信号更准确。
해문개소료기이치분해검측신호적원리，연구료정하전자맥충수거전수중접수도적순변신호화조성적기이치분포특성，제출료상린기이치증량적개념，병근거순변신호화조성상린기이치증량적불동，구분신호여조성。재차기출상，제출료자괄응선택주기이치개수적기이치분해검측순변신호적방법，병급출해방법검측순변신호적구체류정。방진결과표명，여전통기이치분해상비，해방법검측미약순변신호경준학。
This paper introduces the principle of signal detection by Singular Value Decomposition (SVD), and discusses the singular value’s distribution characteristics of the transient signal and Gauss white noise which received from electromagnetic-pulse along the well bore. Then the definition of singular value increment is given, and the signal is distinguished easily from noise according to those singular value increment’s differences. On this basis, an adaptive singular value decomposition method based on selection of main singular value using singular value increment is proposed for the detection of transient signal, and the detailed flowchart of the method is illustrated. Simulation results demonstrate that, the proposed method has a good effect on distinguishing the transient faint signal from noise and the performance outperforms the typical SVD.