Maximum-likelihood modulation classification with incomplete channel information

机译：具有不完整信道信息的最大似然调制分类

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This paper presents a discussion of the classification of digital communication signals given incomplete knowledge of the channel. Through a maximum-likelihood framework, modulation classifiers are presented which assume no or limited a priori knowledge of the fading experienced by the signal (including time offset, phase shift, and amplitude) and/or the distribution of the noise added in the channel. A recently published asynchronous classifier for digitally modulated signals, which uses a new channel estimator that is blind to the modulation scheme of the received signal, is introduced and analyzed. In addition, results are presented of our recent work on the classification of digitally modulated signals in flat fading non-Gaussian channels.

机译：本文在信道知识不完整的情况下，对数字通信信号的分类进行了讨论。通过最大似然框架，提出了调制分类器，这些分类器假设没有或没有先验的信号衰减经验（包括时间偏移，相移和幅度）和/或信道中添加的噪声分布。介绍并分析了最近发布的用于数字调制信号的异步分类器，该分类器使用了一种新的信道估计器，该信道估计器对接收信号的调制方案不了解。此外，还介绍了我们最近在平坦衰落非高斯信道中对数字调制信号进行分类的工作结果。

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来源
《2013 Information Theory and Applications Workshop》|2013年|1-4|共4页
会议地点 San Diego CA(US);San Diego CA(US)
作者
Headley W.C.; Chavali V.G.; da Silva C.R.C.M.;
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Bradley Dept. of Electr. Comput. Eng., Virginia Polytech. Inst. State Univ., Blacksburg, VA, USAc;

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1. A Faster Maximum-Likelihood Modulation Classification in Flat Fading Non-Gaussian Channels [J] . Chen Wenhao, Xie Zhuochen, Ma Lu, IEEE communications letters . 2019,第3期

机译：平坦衰落非高斯信道中更快的最大似然调制分类
2. Maximum-likelihood differential detection of uncoded and trellis coded amplitude phase modulation over AWGN and fading channels/spl minus/metrics and performance [J] . Divsalar D., Simon M.K. IEEE Transactions on Communications . 1994,第1期

机译：AWGN上未编码和网格编码幅度相位调制的最大似然差分检测和衰落信道/ spl负/度量和性能
3. Maximum-Likelihood Classification of Digital Amplitude-Phase Modulated Signals in Flat Fading Non-Gaussian Channels [J] . Chavali V. Gautham, da Silva Claudio R. C. M. Communications, IEEE Transactions on . 2011,第8期

机译：平坦衰落非高斯信道中数字调相信号的最大似然分类
4. Automatic Modulation Classification in Cognitive Radio Using Multiple Antennas and Maximum-Likelihood Techniques [C] . Salam Ahmed O.Abdul, Sheriff Ray E., Al-Araji Saleh R., IEEE International Conference on Ubiquitous Computing and Communications;IEEE International Conference on Pervasive Intelligence and Computing;IEEE International Conference on Dependable, Autonomic and Secure Computing;IEEE International conference on computer and information technology . 2015

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5. Upper bounds on the performance of maximum-likelihood decoded binary block codes in AWGN and block fading channels. [D] . Mehrabian, Amaan. 2005

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7. Maximum-likelihood Modulation Classification for PSK/QAM [O] . J. A. Sills 1999

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8. Relation between Maximum-Likelihood Classification and Minimum-Cross-Entropy Classification [R] . Shore, J. E. 1983

机译：最大似然分类与最小交叉熵分类的关系

Maximum-likelihood modulation classification with incomplete channel information

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