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</script>handle: 11583/1506779
An effective algorithm for the design of punctured serially concatenated convolutional codes (SCCCs) is proposed. The algorithm is based on the density evolution technique, and its main goal is to design a code matching the outer and the inner encoder in order to reduce the bit error rate (BER) in the SNR operating region ranging from the waterfall to the error floor of the designed SCCCs. The concepts are illustrated for some specific SCCC schemes. Finally, simulation results and comparisons with other approaches proposed in the literature confirm the effectiveness of the proposed algorithm.
BER, Equations, 000, Performance analysis, code matching, SNR operating region, Signal design, concatenated codes, Iterative decoding, bit error rate, Helium, 004, Signal analysis, convolutional codes, Algorithm design and analysis, density evolution technique, error statistics, punctured serially concatenated code
BER, Equations, 000, Performance analysis, code matching, SNR operating region, Signal design, concatenated codes, Iterative decoding, bit error rate, Helium, 004, Signal analysis, convolutional codes, Algorithm design and analysis, density evolution technique, error statistics, punctured serially concatenated code
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