| 引用本文： |
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高露琴,吴晓富,张索非,等.面向极化编码慢跳频的干扰状态迭代估计及译码算法[J].电讯技术，2025，（1）：103 - 110. [点击复制]
- GAO Luqin,WU Xiaofu,ZHANG Suofei,et al.Iterative Jamming State Estimation and Decoding of Polar Codes over Slow Frequency Hopping Channels[J].，2025，（1）：103 - 110. [点击复制]
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| 摘要: |
| 考虑将循环冗余校验级联极化(Cyclic Redundancy Check Assisted Polar,CA-Polar)码应用于受部分频带干扰的慢跳频通信场景，针对每跳干扰状态未知的挑战，提出了一种基于CA-Polar码软输出解码的迭代干扰状态估计方法。该方法基于广义似然比(Generalize Ratio Test,GRT)来启动部分频带干扰下的极化解码，然后通过每次迭代译码的可靠度信息来不断提高每一跳干扰状态估计的准确性，基于干扰状态估计更新接收信号的对数似然比(Log-Likelihood Ratio,LLR)并用于CA-Polar码的新一轮迭代译码。仿真结果表明，采用(1 024，256+CRC-16)CA-Polar码在块错误率(Block Error Rate,BLER)为1×10-4时，所提出的迭代处理相比于无迭代处理的性能有效提升近2.4 dB；相比于1/2码率的(648,324)LDPC码，同等码率的(512,256+CRC-8)CA-Polar码在相同跳频抗干扰场景下以及BLER为1×10-4时性能增益近0.2 dB。 |
| 关键词: 极化码；慢跳频；脉冲噪声；软输出译码 对数似然比计算 |
| DOI：10.20079/j.issn.1001-893x.240127001 |
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| 基金项目:国家自然科学基金资助项目(62371245) |
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| Iterative Jamming State Estimation and Decoding of Polar Codes over Slow Frequency Hopping Channels |
| GAO Luqin,WU Xiaofu,ZHANG Suofei,HU Haifeng |
| (a.National Engineering Research Center of Communications and Networking;b.School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China) |
| Abstract: |
| Considering applying cyclic redundancy check assisted Polar(CA-Polar) codes in slow frequency hopping spread spectrum(FH-SS) with partial-band interference,soft-output list decoding of Polar codes,the authors propose an iterative receiver with joint jamming state estimation and channel decoding based on cyclic redundancy check-assisted soft-output list decoding of Polar codes.The proposed iterative receiver starts with a Generalized-Ratio-Test(GRT) approach for robustly calculating the channel Log-Likelihood Ratio(LLR),and the estimation of CA-Polar-coded bits with soft-output list decoding is updated for jamming state estimation.Compared with the non-iterative approach,the proposed iterative decoding approach obtains a gain of about 2.4 dB at block error rate(BLER) of 1×10-4 for a(1 024,256+CRC-16) CA-Polar codes.Compared with a rate-1/2(648,324) LDPC codes,the use of(512,256+CRC-8) CA-Polar codes achieves a gain of about 0.2 dB at BLER of 1×10-4. |
| Key words: Polar codes slow frequency hopping impulse noise soft-output decoding Log-Likelihood ratio computation |
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