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LoRa is a pivotal technology in low power wide area networks, characterized by its low power consumption and long-range communication capabilities. However, it suffers from the drawback of low spectral efficiency. Currently, various spectrally efficient CSS modulation techniques have been proposed to address this issue. Among them, the LCSS system offers additional degrees of freedom through the number of layers (L), enabling a wider range of achievable spectral efficiency. Nevertheless, the LCSS system faces an important challenge due to its multi-layer chirp modulation, namely high peak-to-average power ratio (PAPR). This paper analyzes the influencing factor of PAPR in the LCSS system based on signal correlation, pointing out its PAPR related to intial phases among different layers. Furthermore, a searching method is given for the phase optimization PAPR suppression, and a combination way using phase optimization and clipping method is present for PAPR suppression. Additionally, complementary cumulative distribution function (CCDF) and bit error rate (BER) analysis are provided for PAPR evaluation. Simulation experimental results demonstrate that these proposed methods effectively mitigate PAPR and avoid the loss of BER.

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A Combined Phase Optimisation and Clipping Reduction PAPR Technique for LCSS System

  • 会议论文

  • 发表日期：

    2026年

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  • LuShuang Liao,
  • Lin Zheng,
  • Chao Yang

摘要

LoRa is a pivotal technology in low power wide area networks, characterized by its low power consumption and long-range communication capabilities. However, it suffers from the drawback of low spectral efficiency. Currently, various spectrally efficient CSS modulation techniques have been proposed to address this issue. Among them, the LCSS system offers additional degrees of freedom through the number of layers (L), enabling a wider range of achievable spectral efficiency. Nevertheless, the LCSS system faces an important challenge due to its multi-layer chirp modulation, namely high peak-to-average power ratio (PAPR). This paper analyzes the influencing factor of PAPR in the LCSS system based on signal correlation, pointing out its PAPR related to intial phases among different layers. Furthermore, a searching method is given for the phase optimization PAPR suppression, and a combination way using phase optimization and clipping method is present for PAPR suppression. Additionally, complementary cumulative distribution function (CCDF) and bit error rate (BER) analysis are provided for PAPR evaluation. Simulation experimental results demonstrate that these proposed methods effectively mitigate PAPR and avoid the loss of BER.