Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Research Article

Study on Correlation Properties of Complementary Codes and the Design Constraints of Complementary Coded CDMA Systems

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  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_8,
        author={Siyue Sun and Guang Liang and Kun Wang},
        title={Study on Correlation Properties of Complementary Codes and the Design Constraints of Complementary Coded CDMA Systems},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Complementary codes CDMA Correlation properties Multiple access interference Multi-path interference},
        doi={10.1007/978-3-319-73447-7_8}
    }
    
  • Siyue Sun
    Guang Liang
    Kun Wang
    Year: 2018
    Study on Correlation Properties of Complementary Codes and the Design Constraints of Complementary Coded CDMA Systems
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_8
Siyue Sun1,*, Guang Liang1, Kun Wang2
  • 1: Shanghai Engineering Center for Micro-satellites
  • 2: Huawei Technologies Co., Ltd.
*Contact email: sunsiyue@hit.edu.cn

Abstract

Complementary codes (CCs) are a kind of two-dimensional spreading codes with ideal correlation properties to resolve the interference-limited problem of traditional CDMA systems. This paper proves the ideal correlation properties of CCs with non-integral chip delay under the definition of aperiodic correlation functions. The comparisons of CCs with traditional spreading codes on auto- and cross-correlation properties under different definitions of correlation functions will also present to verify the correctness of the proof work and to show that a CC-CDMA system is able to achieve MPI- and MAI-free communication owning to the proved ideal aperiodic correlation properties.