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Nowadays, it has become difficult to obtain the expected performance of a digital communication system using the Monte Carlo simulation method. This is due to advanced technologies used in the transmitter and the receiver. In this paper, we propose a new semi-analytical approach for deriving the error probability. It combines the saddle-point approximation and bootstrap technique for estimating the...
Error probability is the most popular metric for evaluating the performance of a digital communication system. It is often estimated using Monte-Carlo simulation method since analytical expressions of the error probabilities are not always available especially for advanced communication systems. In this paper, we propose a new semi-analytical method for fast performance evaluation. This method is...
This paper deals with the bit error rate (BER) semi-analytical prediction in a turbo coded digital communication system. We propose a new prediction method which is based on the kernel estimator of the probability density function (pdf). We assume that no knowledge on the distribution of the received soft samples is available. In the proposed method, we derived a new expression of the smoothing parameter...
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