| Autor: |
ZHANG Tianqi, YANG Zongfang, ZOU Han, MA Kunran |
| Předmět: |
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| Zdroj: |
Systems Engineering & Electronics; Sep2024, Vol. 46 Issue 9, p3221-3230, 10p |
| Abstrakt: |
In order to solve the problem that the current polarization code parameter recognition algorithm lacks the recognition for the starting point of code word and the information bit recognition algorithm is complicated, a polarization code parameter blind recognition algorithm based on the code matrix estimation in proposed. The proposed algorithm firstly multiples the intercepted code word matrix with the Kronecker matrix under the corresponding code length and the reverse rearrangement matrix to obtain the code matrix estimation, then identifies the code length and the code word starting point by the distribution characteristics of the code matrix, and finally uses the trained convolutional neural network to identify the information bits and freezing bits of the polarization code. The experimental results show that the proposed method not only realizes the recognition for the starting point of code word, but also realizes the code length recognition when the code word's starting point is unknown, and the code length recognition accuracy is better than the existing algorithm. When the bit error rate is 0. 19, the polarization code length recognition rate of parameter (32,12) can SÍII reach more than 90%. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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