EM-based blind LDPC identification in multipath channels

Yu LIU; Fanggang WANG; Jingwen ZHANG; Bo AI; Zhangdui ZHONG

doi:10.11959/j.issn.1000-436x.2018153

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EM-based blind LDPC identification in multipath channels

5G and Cognitive and Cooperative Network | 更新时间：2024-06-05

- EM-based blind LDPC identification in multipath channels
- Journal on Communications Vol. 39, Issue 9, Pages: 43-48(2018)
- 作者机构：
  
  北京交通大学轨道交通控制与安全国家重点实验室，北京 100044
- 作者简介：
- 基金信息：
  
  The Fundamental Research Funds for the Central Universities(2018JBM078);The National Natural Science Foundation of China(61571034);The National Natural Science Foundation of China(61725101);The Natural Science Foundation of Beijing(4182051);The Natural Science Foundation of Beijing(L172020);The Key Laboratory of Universal Wireless Communications,Ministry of Education,P.R.China(KFKT-2018102);The Major Projects of Beijing Municipal Science and Technology Commission Under Grant(Z181100003218010)
- DOI：10.11959/j.issn.1000-436x.2018153
  CLC： TN929
- Online First：2018-09，
  
  Published：25 September 2018
- 稿件说明：
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Yu LIU, Fanggang WANG, Jingwen ZHANG, et al. EM-based blind LDPC identification in multipath channels[J]. Journal on Communications, 2018, 39(9): 43-48.
DOI：

Yu LIU, Fanggang WANG, Jingwen ZHANG, et al. EM-based blind LDPC identification in multipath channels[J]. Journal on Communications, 2018, 39(9): 43-48. DOI： 10.11959/j.issn.1000-436x.2018153.

摘要

随着认知无线电的出现，盲编码器识别引起了广泛的关注。现有相关工作主要集中在加性高斯白噪声（AWGN）信道，而多径场景下的盲识别尚未得到充分研究。考虑未知多径衰落信道下的盲低密度奇偶校验码（LDPC）识别，提出了基于期望最大化（EM）算法的似然分类器，以获得未知参数的最大似然估计值，并采用平均对数似然比（LLR）估计器对未知编码器进行识别。数值结果表明，该算法在多径信道中具有良好的识别性能，特别是在低信噪比区域。

Abstract

As the advent of cognitive radios

blind encoder identification has attracted increasingly attentions since it plays an important role.The existing works mainly focus on additive white Gaussian noise (AWGN) channel

while the blind identification in multipath scenarios has not been sufficiently investigated.Considering the blind low density parity-check (LDPC) codes identification in the presence of unknown multipath fading channel

a likelihood-based classifier was proposed using the expectation maximization (EM) algorithm to obtain the maximum likelihood estimates of the unknown parameters.Then

an average log-likelihood ratio (LLR) estimator was adopted to classify the unknown encoder.Numerical results show that the proposed algorithm provides promising identification performance in multipath channels

especially in the low signal-to-noise ratio region.

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references

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