Frequency Domain Low Complexity Chase Reed–Solomon Decoding Under Blind Recognition Prior Conditions

In non-cooperative communication systems, recognition and decoding are two key technologies that determine whether the receiving terminal can correctly decipher the information. To better utilize the prior information by recognition and improve the decoding performance, a novel frequency domainlow complexity chase (F-LCC) Reed–Solomon (RS) decoding scheme is proposed. Firstly, the relationship between recognition and decoding is analyzed, and the erroneous codewords to be decoded can be selected by analyzing the spectrogram obtained from recognition; Then, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-dynamically adjustable multiplicity assignment (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-DAMA) algorithm is proposed by analyzing the channel soft information, where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula> is the number of the most unreliable code positions. Wherein, the number of test vectors <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$2^{\eta }$</tex-math></inline-formula> is modeled as a function of code length and bit error rate (BER), which solves the problem of traditional decoding algorithms relying on empirical values to determine <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>. Simulations verify the frame error rate (FER) of the proposed F-LCC for decoding RS(255,239) with different signal-to-noise ratios (SNRs). The results show that the proposed F-LCC decoding scheme can achieve a gain of 0.3dB and 0.15dB compared with the decoding performance of the existing time domain-LCC (T-LCC) decoding scheme when <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula> = 3 and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula> = 5, respectively.

Authors

Institutions

Publication Details

Journal
IEEE Signal Processing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lsp.2025.3563126
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frequency Domain Low Complexity Chase Reed–Solomon Decoding Under Blind Recognition Prior Conditions

Zhuolun Wu, Yanyan Liu, Wei Zhang, Yanyan Chang
IEEE Signal Processing Letters
Coding theory and cryptography
article

Frequency Domain Low Complexity Chase Reed–Solomon Decoding Under Blind Recognition Prior Conditions

Zhuolun Wu, Yanyan Liu, Wei Zhang, Yanyan Chang
article en

Abstract

In non-cooperative communication systems, recognition and decoding are two key technologies that determine whether the receiving terminal can correctly decipher the information. To better utilize the prior information by recognition and improve the decoding performance, a novel frequency domainlow complexity chase (F-LCC) Reed–Solomon (RS) decoding scheme is proposed. Firstly, the relationship between recognition and decoding is analyzed, and the erroneous codewords to be decoded can be selected by analyzing the spectrogram obtained from recognition; Then, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-dynamically adjustable multiplicity assignment (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>-DAMA) algorithm is proposed by analyzing the channel soft information, where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula> is the number of the most unreliable code positions. Wherein, the number of test vectors <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$2^{\eta }$</tex-math></inline-formula> is modeled as a function of code length and bit error rate (BER), which solves the problem of traditional decoding algorithms relying on empirical values to determine <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula>. Simulations verify the frame error rate (FER) of the proposed F-LCC for decoding RS(255,239) with different signal-to-noise ratios (SNRs). The results show that the proposed F-LCC decoding scheme can achieve a gain of 0.3dB and 0.15dB compared with the decoding performance of the existing time domain-LCC (T-LCC) decoding scheme when <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula> = 3 and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\eta$</tex-math></inline-formula> = 5, respectively.

IEEE Signal Processing LettersVol. 32
Tianjin University of Science and Technology (CN), Tianjin University (CN), Nankai University (CN)
Openalex Percentile: Top 96%
Coding theory and cryptography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.