Distance distribution for turbo-equalized systems over static frequency selective channels
ABSTRACT In this paper we investigate the Euclidean distance distribution in turbo-equalized systems over static frequency-selective (ISI) channels . We propose a novel approach in evaluating the squared Euclidean distance between transmitted sequences at the output of the ISI channel based on the correlogram of error sequences. By inspecting autocorrelation properties of error sequences, we derive the main statistics of the output Euclidean distance. The proposed method provides a more comprehensive tool to predict system behavior with finite or infinite packet length. We exploit obtained results to evaluate the frame error rate (FER) performance of the system under maximum-likelihood sequence estimation.
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ABSTRACT: This paper proposes a novel, statistics based method for the prediction of the performance of an iterative receiver in conjunction with Chase combining hybrid automatic repeat-request protocol, in a single-input single-output frequency-selective channel. The method provides an estimate of the frame error rate for a given number of retransmissions, when the signal-to-noise ratio and the number of propagation paths are known. This is accomplished by analyzing the behavior of the iterative receiver through extrinsic information transfer charts. The numerical results demonstrate that the proposed method reliably predicts the system performance.Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on; 10/2010