🤖 AI Summary
To address the significant performance degradation of conventional polar codes under rate-matching scenarios, this paper proposes spliced polar codes. The method enhances transmission robustness for low-reliability information bits by structurally inserting redundant bits into codewords, while preserving the original encoding/decoding architecture and computational complexity. Crucially, it innovatively reconstructs the polarization process—improving channel polarization effectiveness without altering the base polarization transform matrix—and enables flexible rate adaptation. Theoretical analysis, leveraging weight spectra and polarization speed, characterizes the underlying performance gain mechanism. Simulation and experimental results demonstrate that, at identical code length and code rate, the proposed scheme achieves a 0.3–0.6 dB SNR gain in bit error rate over standard polar codes, validating its effectiveness and practicality.
📝 Abstract
In this paper, we introduce stitched polar codes, a novel generalization of Arıkan's regular polar codes. Our core methodology reconfigures the fundamental polarization process by stitching additional structures to enhance the reliability of less reliable information bits in the original code. This approach preserves the polar transformation structure and maintains the same encoding and decoding complexity. Thanks to the flexible configuration, stitched polar codes consistently outperform regular polar codes, effectively solving the performance degradation issue in rate-matched scenarios. Furthermore, we provide theoretical analysis on the weight spectrum and the polarization speed of stitched polar codes to prove their superiority.