Either GMW sequence or m-sequence possesses a 2-valued auto-correlation function which helps to improve the performance of a RAKE receiver. However, their cross-correlation functions are less well controlled. Before they can be applied to a CDMA system, it is necessary to construct their sub-families (taking advantage of their large family size) which offer satisfactory cross-correlation functions. This paper studies several algorithms for constructing those quasi-optimum sub-families in terms of minimized bit error rate under co-channel interference. The study shows that the performance of resultant sub-families is sensitive to sub-family sizes and algorithms. A new criterion based on combined (even and odd) maximum cross-correlation for code selection is introduced, and highest-peak-deleting and most-peak-deleting algorithms are suggested for constructing quasi-optimum sub-families of GMW and m-sequences.
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Xiao Hua CHEN, Tao LANG, Juhani OKSMAN, "Constructing Quasi-Optimum GMW and M-Sequence Subfamilies with Minimized System Bit Error Rate" in IEICE TRANSACTIONS on Communications,
vol. E79-B, no. 7, pp. 963-973, July 1996, doi: .
Abstract: Either GMW sequence or m-sequence possesses a 2-valued auto-correlation function which helps to improve the performance of a RAKE receiver. However, their cross-correlation functions are less well controlled. Before they can be applied to a CDMA system, it is necessary to construct their sub-families (taking advantage of their large family size) which offer satisfactory cross-correlation functions. This paper studies several algorithms for constructing those quasi-optimum sub-families in terms of minimized bit error rate under co-channel interference. The study shows that the performance of resultant sub-families is sensitive to sub-family sizes and algorithms. A new criterion based on combined (even and odd) maximum cross-correlation for code selection is introduced, and highest-peak-deleting and most-peak-deleting algorithms are suggested for constructing quasi-optimum sub-families of GMW and m-sequences.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e79-b_7_963/_p
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@ARTICLE{e79-b_7_963,
author={Xiao Hua CHEN, Tao LANG, Juhani OKSMAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Constructing Quasi-Optimum GMW and M-Sequence Subfamilies with Minimized System Bit Error Rate},
year={1996},
volume={E79-B},
number={7},
pages={963-973},
abstract={Either GMW sequence or m-sequence possesses a 2-valued auto-correlation function which helps to improve the performance of a RAKE receiver. However, their cross-correlation functions are less well controlled. Before they can be applied to a CDMA system, it is necessary to construct their sub-families (taking advantage of their large family size) which offer satisfactory cross-correlation functions. This paper studies several algorithms for constructing those quasi-optimum sub-families in terms of minimized bit error rate under co-channel interference. The study shows that the performance of resultant sub-families is sensitive to sub-family sizes and algorithms. A new criterion based on combined (even and odd) maximum cross-correlation for code selection is introduced, and highest-peak-deleting and most-peak-deleting algorithms are suggested for constructing quasi-optimum sub-families of GMW and m-sequences.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Constructing Quasi-Optimum GMW and M-Sequence Subfamilies with Minimized System Bit Error Rate
T2 - IEICE TRANSACTIONS on Communications
SP - 963
EP - 973
AU - Xiao Hua CHEN
AU - Tao LANG
AU - Juhani OKSMAN
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E79-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 1996
AB - Either GMW sequence or m-sequence possesses a 2-valued auto-correlation function which helps to improve the performance of a RAKE receiver. However, their cross-correlation functions are less well controlled. Before they can be applied to a CDMA system, it is necessary to construct their sub-families (taking advantage of their large family size) which offer satisfactory cross-correlation functions. This paper studies several algorithms for constructing those quasi-optimum sub-families in terms of minimized bit error rate under co-channel interference. The study shows that the performance of resultant sub-families is sensitive to sub-family sizes and algorithms. A new criterion based on combined (even and odd) maximum cross-correlation for code selection is introduced, and highest-peak-deleting and most-peak-deleting algorithms are suggested for constructing quasi-optimum sub-families of GMW and m-sequences.
ER -