Blind Identification of Polar Codes Based on Estimation and Derivation Approaches

Chen Yi, Bo Pang, Lifang He, Baoze Ma, Yong Li, Francis C.M. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review


The blind identification of polar codes is to identify code parameters such as the code length, the number and positions of information bits in a polar code in non-cooperative communications. In this letter, we propose two low-complexity algorithms to identify code length and information bits of polar codes, respectively, by taking the union of both the estimated code parameters and the derived code parameters from the allowable shortest code without the candidate code sets. Simulations show that our proposed scheme is robust to the error and significantly improves the identification performance as compared to the existing purely code parameter estimation approaches.

Original languageEnglish
Article number9964202
Pages (from-to)414-418
Number of pages5
JournalIEEE Communications Letters
Issue number2
Publication statusPublished - 1 Feb 2023


  • Polar codes
  • blind identification
  • code parameter derivation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation


Dive into the research topics of 'Blind Identification of Polar Codes Based on Estimation and Derivation Approaches'. Together they form a unique fingerprint.

Cite this