005e821131
- Class folder 'Timing Recovery' with different timing recoveries - Minimal example for the timing recovery on the FSO data - New evaluation scripts in the FSO project folder
78 lines
2.4 KiB
Matlab
78 lines
2.4 KiB
Matlab
classdef Timing_Recovery_Move_It < handle
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properties(Access=public)
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f_sim
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gamma
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end
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methods(Access=public)
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function obj = Timing_Recovery_Move_It(options)
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arguments(Input)
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options.f_sim = 14e9;
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options.gamma = 0.1;
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end
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fn = fieldnames(options);
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for n = 1:numel(fn)
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obj.(fn{n}) = options.(fn{n});
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end
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%obj-Initialization here%
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end
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function data_out = process(obj, data_in)
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e = NaN(size(data_in.signal));
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T = 1/obj.f_sim;
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t = zeros(size(data_in.signal));
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t(2) = T/2;
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mu = zeros(size(data_in.signal));
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% n = 2;
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for k = 3:2:length(data_in.signal)
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data_in.signal(k-1) = data_in.signal(k-1)*(1-mu(k-2)) + data_in.signal(k)*mu(k-2);
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data_in.signal(k) = data_in.signal(k)*(1-mu(k-1)) + data_in.signal(k+1)*mu(k-1);
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% TED
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e(k) = (data_in.signal(k-2)-data_in.signal(k))*data_in.signal(k-1);
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e(k+1) = e(k);
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% TED Mueller Mueller
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% e(k) = ref_in(n-1)*data_in.signal(k) - ref_in(n)*data_in.signal(k-2);
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% e(k+1) = e(k);
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% n = n+1;
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%
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% interpolator control
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% t(k) = t(k-1) + T/2 + obj.gamma/2*e(k);
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% t(k+1) = t(k) + T/2 + obj.gamma/2*e(k+1);
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t(k) = t(k-1) + T/2 + obj.gamma*e(k)*T/2;
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t(k+1) = t(k) + T/2 + obj.gamma*e(k+1)*T/2;
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% t(k) = k*T/2 + obj.gamma*e(k)*T/2;
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% t(k+1) = k*T/2 + obj.gamma*e(k+1)*T/2;
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% interpolator
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mu(k) = t(k)/(T/2) - round(t(k)/(T/2));
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mu(k+1) = t(k+1)/(T/2) - round(t(k+1)/(T/2));
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thres = 0.7;
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if mu(k)-mu(k-1) > thres
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mu(k) = mu(k) - 1;
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elseif mu(k) - mu(k-1) < -thres
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mu(k) = mu(k) + 1;
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end
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if mu(k+1)-mu(k) > thres
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mu(k+1) = mu(k+1) - 1;
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elseif mu(k+1) - mu(k) < -thres
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mu(k+1) = mu(k+1) + 1;
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end
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end
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data_out = data_in;
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end
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end
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end
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