Design and Performance Evaluation of Polar Coding for BICM Systems With Phase Noise

Wang, Qian; Ma, Wenqiang; Liu, Ling; Qian, Li Ping; Yang, Xiaoniu; Kam, Pooi-Yuen

doi:10.1109/lcomm.2023.3326746

Cited by 1 publication

(2 citation statements)

References 24 publications

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“…Among Equation (12), ω L represents the loop bandwidth (Hz). By substituting Equation ( 12) into Equation ( 11), the tracking error of the third-order phase-locked loop can be obtained as:…”

Section: Impact Analysis Of Phase Noise In Frequency Domainmentioning

confidence: 99%

“…This method has the potential to be realized by FPGA, and can be applied to the signal processor of digital communication system. The authors of [12] address the issue of polar coding design for bit-interleaved coded modulation (BICM) systems over the phase noise channel. The polarization code is constructed from the calculated average GMI per bit layer for a given PRE-variance and signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

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Analysis on the Effect of Phase Noise on the Performance of Satellite Communication and Measurement System

Liu,

Lu,

et al. 2023

Symmetry

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An oscillator is a key component of a satellite communication measurement and control system, performing symmetry precisely as a time frequency reference. At the same time, the phase noise index has a close coupling relationship with the overall performance of the entire system, while persistently breaking the symmetry property of the oscillator during work. It is very important to study and reasonably allocate the phase noise index. According to the theoretical formula of phase noise, this paper analyzes the power law spectral model in the frequency domain and the noise jitter characteristics in the time domain. Using the carrier tracking loop in the measurement system, the frequency domain transfer model of phase noise is established, and typical analysis results are given. A discrete fractional integration algorithm is proposed, which can generate the phase noise time domain sequence under the given power law spectral model coefficients. The proposed algorithm is more realistic compared with the previous numerical calculation method, and has sufficient accuracy compared with the results of the instrument. After frequency domain conversion, the RMS deviation between the simulated noise sequence in the frequency domain and the measured single sideband power spectral density is less than 2.5 dB, indicating that the phase noise sequence can reflect the frequency domain characteristics more completely. A communication measurement simulation system is built, and a discrete sequence simulation analysis method combining frequency domain and time domain is provided, and the coupling relationship of key indicators such as phase noise, thermal noise, communication data rate, modulation method and bit error rate is synthesized. The results show that the BER of the QPSK/BPSK communication system will not be significantly reduced if the phase jitter RMS caused by the phase noise is less than 5 degrees, so 5 degrees can be used as a reference for the decomposition of the carrier SSB phase noise index. The simulation results have been successfully applied to a satellite inter-satellite link system, which has universal practical application value.

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Section: Impact Analysis Of Phase Noise In Frequency Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%