← 研踪 PaperTrailarXiv:2610.16363 · v2
Log Density Spectrum Based Decoding of Polar Codes for Channels with Strong Phase Noise
首次提交 2026-10-12 16:17
版本更新 2026-10-29 15:58
雷达观测 2026-10-30 13:28
摘要
A decoding method is proposed for polar codes under channels with strong phase noise. In contrast to traditional SC decoding, where recursions are performed on scalar soft information such as probabilities, the proposed decoding recurses over probability density functions defined on the phase-noise variable. To make the density-level recursion computationally tractable, we represent each log-density by its spectrum, and derive approximate formulas for the spectrum recursion, therefore, the proposed method is termed log-density spectrum recursion (LDSR). Numerical results are given under strong phase noise and AWGN, showing that a prominent superiority of error performance is achieved by LDSR in comparison with traditional SC and Kalman-based methods.
作者备注：11 pages, 4 figures
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v2 · 2026-10-29 15:58 · 最新观测版本
Log Density Spectrum Based Decoding of Polar Codes for Channels with Strong Phase Noise
A decoding method is proposed for polar codes under channels with strong phase noise. In contrast to traditional SC decoding, where recursions are performed on scalar soft information such as probabilities, the proposed decoding recurses over probability density functions defined on the phase-noise variable. To make the density-level recursion computationally tractable, we represent each log-density by its spectrum, and derive approximate formulas for the spectrum recursion, therefore, the proposed method is termed log-density spectrum recursion (LDSR). Numerical results are given under strong phase noise and AWGN, showing that a prominent superiority of error performance is achieved by LDSR in comparison with traditional SC and Kalman-based methods.
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