monte_ Monte Carlo simulation experiment
2018-01-13
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%Monte Carlo simulation of binary system objective: to consider the error probability of digital communication system. %Firstly, random variables R0 and R1 are generated by simulation, which constitute the input of the detector. Firstly, a binary 0 and 1 sequence with equal probability and statistical independence is generated. %In order to generate equal probability 0 and 1 sequences, methods: a random number generator is used to generate uniform random numbers in the range of (0,1), if the generated random number is 0% in the range of (0,0.5), if a 0 is generated, then R0 = P + N0; R1 = N1; & nbsp; & nbsp; if a 1: is generated, then R0 = N0; R1 = P + N1; & nbsp; & nbsp; & nbsp; The signal correlator uses two Gaussian white noise generators to generate additive noise components N0 and N1, whose mean value is 0 and variance is p * N0 / 2. In order to normalize the signal energy P, SNR = P / N0
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