Correlation integral-matching downsampling envelope detection method and system
A technology related to envelope detection and matching, which is applied in the field of detection and can solve problems such as data redundancy.
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Embodiment 1
[0062] The present invention provides a method of envelope detection based on correlation integral downsampling, said method comprising the following steps:
[0063] First, the carrier is sampled to obtain discrete carrier data. According to the sampling frequency and the time to be integrated, the discrete carrier data is integrated and segmented. The integral segment can be slid in the form of a sliding window, or can be jumped in the form of a window. The schematic diagram of carrier sampling data and its integral segmentation is as follows: figure 1 as shown, figure 1 shows the position of the second integral segment (ie, integral segment 2) when the first integral segment (ie, integral segment 1) jumps 1 bit and jumps 6 bits, respectively.
[0064] Secondly, based on the sine or cosine signal with the same frequency as the carrier signal, according to the carrier frequency, carrier sampling frequency and integration time, generate sine or cosine sample set data and its c...
Embodiment 2
[0071] The present invention also can be realized before carrier signal sampling, and specific implementation means are as follows:
[0072] 1) According to the frequency of the carrier signal and the integration time, a set of sinusoidal sample signals with different initial phases whose frequency is the frequency of the carrier signal and whose duration is the integration time is generated;
[0073] 2) Realize the product of the carrier signal and multiple sinusoidal sample signals with different phases, and integrate the product signal. This integration time is the integration time mentioned in 1);
[0074] 3) Sampling the integral value of the product of each carrier signal and the sinusoidal sample signal of different phases, and taking the maximum value as the envelope detection value of the current time period;
[0075] 4) Similarly, the integral signal segment can also be moved back by sliding or jumping. The duration of the window signal is the integration time. When...
Embodiment 3
[0077] The present invention realizes based on Fourier transform, and specific implementation means are as follows:
[0078] 1) Sampling the carrier signal, the sampling frequency is not less than twice the highest frequency of the signal;
[0079] 2) Integrate and segment the carrier signal, and the number of data points in the integration segment is the sampling frequency multiplied by the integration time;
[0080] 3) Perform Fourier transform on the integral segment data;
[0081] 4) Perform band-pass filtering on the frequency domain data after Fourier transform, and filter out the out-of-band components of the carrier signal;
[0082] 5) Sum the different spectrum data after the band pass, and this sum is the envelope value of the current integration segment.
[0083] 6) The integration section also moves back in the form of a jumping window until the carrier signal processing ends.
[0084] Above-mentioned embodiment 1, embodiment 2 and embodiment 3 are based on foll...
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