Upper bounds on the bit error rate (BER) for maximum likelihood (ML) decoding are derived in convolutional coded parallel combinatorial spread spectrum (PC/SS) systems over additive white Gaussian noise (AWGN) channels. PC/SS systems can achieve higher data transmission than conventional multicode SS systems. To make the derivation tractable, we put a uniform interleaver between a convolutional encoder and a PC/SS transmitter. Since the PC/SS transmitter is employed as the "inner encoder," the bounds are obtained in a similar manner of the derivation in serially concatenated codes through a uniform interleaver. Two different error patterns in the PC/SS system are considered in the performance analysis. Numerical results show that the derived BER bounds are sufficiently accurate. It is found that the coded PC/SS systems outperform coded all-code-parallel DS/SS systems under the same data rate conditions if the number of pre-assigned PN codes increases.
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Ken-ichi TAKIZAWA, Shigenobu SASAKI, Shogo MURAMATSU, Jie ZHOU, Hisakazu KIKUCHI, "Performance Bounds in Convolutional Coded Parallel Combinatorial SS Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 7, pp. 1696-1701, July 2002, doi: .
Abstract: Upper bounds on the bit error rate (BER) for maximum likelihood (ML) decoding are derived in convolutional coded parallel combinatorial spread spectrum (PC/SS) systems over additive white Gaussian noise (AWGN) channels. PC/SS systems can achieve higher data transmission than conventional multicode SS systems. To make the derivation tractable, we put a uniform interleaver between a convolutional encoder and a PC/SS transmitter. Since the PC/SS transmitter is employed as the "inner encoder," the bounds are obtained in a similar manner of the derivation in serially concatenated codes through a uniform interleaver. Two different error patterns in the PC/SS system are considered in the performance analysis. Numerical results show that the derived BER bounds are sufficiently accurate. It is found that the coded PC/SS systems outperform coded all-code-parallel DS/SS systems under the same data rate conditions if the number of pre-assigned PN codes increases.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_7_1696/_p
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@ARTICLE{e85-a_7_1696,
author={Ken-ichi TAKIZAWA, Shigenobu SASAKI, Shogo MURAMATSU, Jie ZHOU, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Performance Bounds in Convolutional Coded Parallel Combinatorial SS Systems},
year={2002},
volume={E85-A},
number={7},
pages={1696-1701},
abstract={Upper bounds on the bit error rate (BER) for maximum likelihood (ML) decoding are derived in convolutional coded parallel combinatorial spread spectrum (PC/SS) systems over additive white Gaussian noise (AWGN) channels. PC/SS systems can achieve higher data transmission than conventional multicode SS systems. To make the derivation tractable, we put a uniform interleaver between a convolutional encoder and a PC/SS transmitter. Since the PC/SS transmitter is employed as the "inner encoder," the bounds are obtained in a similar manner of the derivation in serially concatenated codes through a uniform interleaver. Two different error patterns in the PC/SS system are considered in the performance analysis. Numerical results show that the derived BER bounds are sufficiently accurate. It is found that the coded PC/SS systems outperform coded all-code-parallel DS/SS systems under the same data rate conditions if the number of pre-assigned PN codes increases.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Performance Bounds in Convolutional Coded Parallel Combinatorial SS Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1696
EP - 1701
AU - Ken-ichi TAKIZAWA
AU - Shigenobu SASAKI
AU - Shogo MURAMATSU
AU - Jie ZHOU
AU - Hisakazu KIKUCHI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2002
AB - Upper bounds on the bit error rate (BER) for maximum likelihood (ML) decoding are derived in convolutional coded parallel combinatorial spread spectrum (PC/SS) systems over additive white Gaussian noise (AWGN) channels. PC/SS systems can achieve higher data transmission than conventional multicode SS systems. To make the derivation tractable, we put a uniform interleaver between a convolutional encoder and a PC/SS transmitter. Since the PC/SS transmitter is employed as the "inner encoder," the bounds are obtained in a similar manner of the derivation in serially concatenated codes through a uniform interleaver. Two different error patterns in the PC/SS system are considered in the performance analysis. Numerical results show that the derived BER bounds are sufficiently accurate. It is found that the coded PC/SS systems outperform coded all-code-parallel DS/SS systems under the same data rate conditions if the number of pre-assigned PN codes increases.
ER -