CAJ | 학술논문

铁路机车移频信号承载了重要行车信息，为了实现对机车信号进行可靠检测，分析了机车信号特征，提出了一种基于Fast ICA的铁路机车信号盲分离算法，该算法在测得载频大小的情况下，取对应上或下边频与移频信号构成两维阵列信号，利用Fast ICA实现了对机车移频信号进行分离，分离后的信号经低通滤波与整形，即可得出低频信号大小。利用MATLAB软件进行了算法仿真，结果表明，该方法有效地对移频信号进行了分离，具有一定的应用价值。
철로궤차이빈신호승재료중요행차신식，위료실현대궤차신호진행가고검측，분석료궤차신호특정，제출료일충기우Fast ICA적철로궤차신호맹분리산법，해산법재측득재빈대소적정황하，취대응상혹하변빈여이빈신호구성량유진렬신호，이용Fast ICA실현료대궤차이빈신호진행분리，분리후적신호경저통려파여정형，즉가득출저빈신호대소。이용MATLAB연건진행료산법방진，결과표명，해방법유효지대이빈신호진행료분리，구유일정적응용개치。
Railway locomotive frequency shift signal carries important information, in order to implement the locomotive sig?nal reliable detection, this paper analyzes the locomotive signal characteristics, and proposes a railway locomotive signal blind source separation algorithm based on Fast ICA. Under the condition of the size of the measured carrier frequency, tak?ing up or down edge frequency consist of a two-dimensional array signal with frequency shift signal. Using the Fast ICA re?alized the locomotive frequency shift signal separation, It is concluded low frequency signal through the separation signal by low-pass filtering and reforming. The algorithm using MATLAB software simulation, the result shows that, the method is effective, and has a certain application value.