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精确识别地铁ASK信号低频频率的新方法
引用本文:许鎔淏,王焱,李晓梅.精确识别地铁ASK信号低频频率的新方法[J].铁路计算机应用,2010,19(5):51-53.
作者姓名:许鎔淏  王焱  李晓梅
作者单位:北京大成通号轨道交通设备有限公司,北京,100044%北京邮电大学,信息与通信工程学院,北京,100088
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.

关 键 词:幅移键控    快速傅氏变换    数字信号处理器
收稿时间:2010-05-15

New method of low frequency to recognize accurdtely ASK signal at metro
Xu Rong-hao,WANG Yan,LI Xiao-mei.New method of low frequency to recognize accurdtely ASK signal at metro[J].Railway Computer Application,2010,19(5):51-53.
Authors:Xu Rong-hao  WANG Yan  LI Xiao-mei
Institution:XU Rong-hao1,WANG Yan1,LI Xiao-mei2(1.Beijing Dacheng Comm-signal Railway Transit Eqnipment LTD.,Beijing 100044,China,2.School of Information , Communication Engineering,Beijing University of Posts , Telecommunication,Beijing 100088,China)
Abstract: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.
Keywords:ASK(Amplitude shift keying)  FFT  DSP  
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