A short code polar code encoding construction method based on polarization spectrum

By using a polarimetric spectrum and dual-core hybrid polarimetric code coding model, combined with symbol-level serial cancellation list decoding, the problem of modulation symbol flexibility and performance improvement in incoherent short code SIMO systems is solved, achieving highly reliable and efficient information bit allocation.

CN122419484APending Publication Date: 2026-07-17SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHEAST UNIV
Filing Date
2026-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing polar code construction techniques rely on channel state information in incoherent short code SIMO systems, which limits the flexibility of modulation symbol mapping and restricts performance improvement in high mobility and short packet transmission scenarios.

Method used

A dual-core hybrid polarimetric code coding model based on polarimetric spectrum is adopted. By selecting polarimetric spectrum statistics and information bit positions, arbitrary symbol mapping bit number modulation is achieved. Combined with symbol-level serial cancellation list decoding, information bit allocation is optimized.

Benefits of technology

It breaks through the limitation that the number of modulation symbol bits must be a power of 2, improves system reliability and modulation flexibility, and significantly improves the block error rate performance of the incoherent short code polar code SIMO system, especially in short packet and high mobility scenarios.

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Abstract

The application discloses a short code polar code encoding construction method based on polarization spectrum. In view of the problems of existing polar code construction in short packet non-coherent SIMO communication, such as dependence on channel state information and limitation of modulation order, a double-core mixed polar code encoding architecture is established, the Kronecker product of two-dimensional cores and arbitrary order cores is adopted, and high-order modulation of an arbitrary symbol mapping bit number is supported; an ordered weight sequence set is generated by calculating the minimum chord distance vector of a constellation diagram; a polarization spectrum statistic is proposed to describe the distribution of segmented weights after the ordering of code words in each sub-code auxiliary set under the condition of no channel state information; an optimization target is established based on the polarization spectrum, the chord distance and the number of receiving antennas, and the optimal information bit allocation is solved by using dynamic programming. Under the symbol level non-coherent SCL decoding, compared with the 5G NR polar code construction scheme and the coherent transmission scheme, the application significantly improves the block error rate performance and is suitable for short packet communication scenes with high mobility and low pilot overhead.
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