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A Novel Low-Complexity Orthogonalization Method

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Advances in Wireless Communications and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 190))

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Abstract

A novel low-complexity orthogonalization method was proposed for prolate spheroidal wave function (PSWF) signal, taking the parity symmetry of PSWF signal and the intimate connection between parity symmetry and orthogonality in mathematics into account, aiming at reducing the complexity of the existing orthogonalization method. According to the parity symmetry of signal, the signal processing of proposed method divides PSWFs signals into two group signals (one is odd signal and the other is even signal) and then orthogonalizes the two group signals, respectively. Both the mathematical deduction and simulation result show that the proposed method can effectively reduce the algorithm complexity at least 68.38% without compromising other system performance, comparing with conventional orthogonalization method.

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Author information

Authors and Affiliations

  1. Naval Aviation University, Yantai, 264001, China

    Faping Lu, Lucheng Yang, Chuanhui Liu & Jiafang Kang

  2. Key Laboratory on Signal & Information Processing of Shandong Province, Yantai, 264001, China

    Faping Lu, Lucheng Yang, Chuanhui Liu & Jiafang Kang

  3. Unit 91033 of the Chinese People’s Liberation Army, Qingdao, China

    Lucheng Yang

  4. Unit 91980 of the Chinese People’s Liberation Army, Yantai, China

    Zheng Zhang

Authors
  1. Faping Lu
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  2. Lucheng Yang
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  3. Chuanhui Liu
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  4. Jiafang Kang
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  5. Zheng Zhang
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Corresponding author

Correspondence to Chuanhui Liu .

Editor information

Editors and Affiliations

  1. Department of Radiocommunications and Videotechnologies, Technical University, Sofia, Bulgaria

    Roumen Kountchev

  2. Department of Computer Science, University of Auckland, Auckland, New Zealand

    Aniket Mahanti

  3. College of Information Science and Technology, Hainan University, Haikou, China

    Shen Chong

  4. School of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  5. University of Science And Technology, Moscow, Russia

    Margarita Favorskaya

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Lu, F., Yang, L., Liu, C., Kang, J., Zhang, Z. (2021). A Novel Low-Complexity Orthogonalization Method. In: Kountchev, R., Mahanti, A., Chong, S., Patnaik, S., Favorskaya, M. (eds) Advances in Wireless Communications and Applications. Smart Innovation, Systems and Technologies, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-15-5697-5_1

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  • DOI: https://doi.org/10.1007/978-981-15-5697-5_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5696-8

  • Online ISBN: 978-981-15-5697-5

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