Flexibly-configured low cost fiber disturbance event end point detection method and flexibly-configured low cost fiber disturbance event end point detector
An endpoint detection, low-cost technology, applied in the exploration of optical devices, etc., can solve the problems of high computing cost and high computing complexity, and achieve the effect of reducing computing cost, low computing complexity, and high timeliness
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Embodiment 1
[0052] see figure 2 , a flexible configurable low-cost optical fiber disturbance event endpoint detection method includes the following steps:
[0053] 101: Extract a section of undisturbed and disturbed downsampled samples (downsampling factor D) respectively, perform fast Fourier transform (FFT) analysis on the two sections of samples, and obtain frequency band distributions respectively;
[0054] Choose an appropriate cutoff frequency f c , to convert the cutoff frequency to a digital angular frequency ω c =2πf c / f s (f s is the input signal sampling rate), set the filter length L, make N=(L+1) / 2 and the frequency unit Δω=2π / N, so as to determine the integer and decimals m is the stopband width of the high-pass filter; λ is the frequency translation amount; N is the length of the filter frequency vector.
[0055] 102: Obtain the frequency shift filter coefficient g through m, λ and N 0 (n):
[0056] g 0 ( ...
Embodiment 2
[0081] The scheme in embodiment 1 is described in detail below in conjunction with specific calculation formulas, accompanying drawings, and examples, see the following description for details:
[0082] The purpose of the embodiments of the present invention is to obtain the starting position of the signal disturbance quickly and accurately under different environments, and at the same time, for practical engineering considerations, the calculation cost of the endpoint detector should be as small as possible (that is, the multiplication cost of the filter processor and adder resources are sufficiently small). from figure 2 It can be seen that the configurable high-pass filter with low computational complexity is the key to the entire endpoint detection process, and whether a filter that meets the requirements can be configured directly determines the performance of the endpoint detector.
[0083] The main flow of the filter design adopted in the embodiment of the present inv...
example 1
[0122] Example 1: Set the length of the high-pass filter N = 32, the desired 3dB cut-off frequency ω c = 4.5Δω, then the relevant parameters can be obtained by formula (12)-(14): frequency shift filter passband cut-off frequency ω p = ω c -0.707Δω=3.8Δω, The ω(n) window selects the Hamming convolution single window. Substituting these parameters into formula (9) can get the filter coefficient analytical formula g 0 (n), and then perform Fourier transform to obtain the transmission curve of the frequency shift filter, as shown in the figure below.
[0123] Since the 3dB cut-off frequency of the high-pass filter is set, ω c The magnitude at the corresponding low-pass filter should be Figure 5 , the passband and stopband cut-off frequencies are marked as circles, ω c Denoted by dashed lines, it can be seen that all three parameters fall exactly where expected.
[0124] 2. Compensation filter design
[0125] according to Figure 5 It can be seen that although the fi...
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