A low-voltage power line communication channel impulse noise detection method based on an amplitude and a width
A low-voltage power line, impulse noise technology, applied in the field of communication noise detection, to achieve the effect of improving the recognition accuracy
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Embodiment 1
[0027] Embodiment 1: as Figure 1-4 As shown, a low-voltage power line communication channel pulse noise detection method based on amplitude and width, the specific steps of the method are as follows:
[0028] Step S1, sampling the power line communication channel noise to obtain N sampling points d i , i =0,1,2,3,... N -1;
[0029] Step S2, calculate N The absolute value mean of samples of noisy data: , i =0,1,2,3,... N -1;
[0030] Step S3, preset the maximum pulse amplitude threshold value V max ;
[0031] Step S4, calculate the difference between the highest threshold value and the absolute value mean value △ V : ;
[0032] Step S5, the difference △ V evenly divided M part;
[0033] Step S6, compare the sampling noise data d i with the first j Segment Minimum Pulse Amplitude Threshold : if there is noise data greater than the minimum pulse amplitude threshold in the sampled data, then go to step S7, otherwise go to S8;
[0034] in, , j =0,2,3,....
Embodiment 2
[0044] Embodiment 2: as Figure 1-4 As shown, a low-voltage power line communication channel pulse noise detection method based on amplitude and width, the specific steps of the method are as follows:
[0045] Step S1, sampling the power line communication channel noise to obtain N sampling points d i , i =0,1,2,3,... N -1;
[0046] More preferably, in the step S1, the sampling frequency at which the low-voltage power line communication channel noise is sampled f s is large enough to meet the requirements of Nyquist sampling theorem during the sampling process;
[0047] Step S2, calculate N The absolute value mean of samples of noisy data: , i =0,1,2,3,... N -1;
[0048] Step S3, preset the maximum pulse amplitude threshold value V max ;
[0049] In the step S3, select V max value, so that V max Greater than the mean value of the absolute value, less than the maximum value of the absolute value of the noise data, you can use V max won't let△ V It is a ne...
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