对某基于MSP430F149的传感器的低频窄脉冲周期信号识别时，若依据采样定律对该低频信号确定的采样率采样则会漏掉该窄脉冲；若提高采样率，频域处理时点数又太多。为此时域采样采用窗口内高采样率，对每个窗口用重采样作为一个采样点。采用快速傅里叶变换（FFT）将时域信号转换为频域信号，分析感兴趣频域范围内的信号。实验结果表明基于MSP430F149的频域识别方法，能准确地识别出与接收器相匹配的传感器信号，达到信号识别、排除干扰的目的。对其他需要处理低频窄脉冲周期信号的应用领域有一定的参考价值。%As for a low-frequency narrow-pulse cycle signal recognition of the sensor based on MSP430F149,if the sam-pling frequency determined by the low frequency signal is sampled according to the sampling theorem,the narrow pulse will be missed,and if enhancing the sampling frequency,there are too many frequency domain processing points. Therefore,a high sampling frequency in the windows was used for time-domain sampling to resample each window to be a sampling point. The fast Fourier transform(FFT)is used to convert the time domain signal to the frequency domain signal and analyze the signal in the interested frequency domain ranges. The experimental results show that the MSP430F149-based identification method of frequen-cy domain can accurately identify the sensor signal matched to the receiver and realize interference exclusion. It has a reference for other applications that need to deal with the low-frequency narrow-pulse periodic signal.
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