Method for designing adaptive decision feedback equalizer based on support vector machine
A technology of decision feedback equalization and support vector machine, applied to the shaping network in the transmitter/receiver, baseband system components, etc., can solve the problems of high signal error rate, low decision accuracy, high error rate, etc., to reduce Bit error rate, improve the equalization effect, overcome the effect of low judgment accuracy
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[0029] specific implementation plan
[0030] Refer to attached figure 1 , to further describe the specific implementation method of the present invention:
[0031] Step 1, generate training data sequence
[0032] According to the selected signal modulation method, the binary random number sequence generated by the random number generator is modulated to form a digital baseband signal sequence, which is used as the training sequence agreed by the transmitting end and the receiving end.
[0033] Step 2, Initialize
[0034] According to the following two formulas, the weight vector and inverse autocorrelation matrix of the adaptive decision feedback equalizer are initialized to zero vector and identity matrix respectively;
[0035] W=[0,0,...,0] T
[0036] P=δI
[0037] Among them, W is the weight vector, T is the transpose symbol; P is the inverse autocorrelation matrix; δ is the coefficient, which is the reciprocal of the estimated value of the initial input signal power;...
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