摘要
地铁ASK低频信号由于频率间隔较小,在进行高精度检测时需要采样时间较长,且计算量很大,计算时间较长,导致识别时间无法满足要求。为解决实时高精度提取地铁ASK信号低频信息的问题,提出一种从频域进行频谱分析检测可兼容不同占空比信号的新方法,该方法将ZFFT技术,频率能量重心校正技术结合,有效降低了算法的计算复杂度,仿真和实地测试结果均符合技术要求。
Accurate recognition of railway ASK signal was difficult because the sample and calculation time was too long for the small frequency interval.In order to solve this problem,we proposed a method which could extract the frequency from spectrum.The method combined the ZFFT method and energy centrobaric spectrum correcting technology to reduce the computational complexity.The simulation and field test result were all in line with technical requirements.
出处
《铁路计算机应用》
2010年第5期51-53,共3页
Railway Computer Application