Coordinated cancellation and correction of non-stationary noise in OFDM

OFDM 中非平稳噪声的协调消除和校正

• 批准号: 218874748
• 负责人: Professor Dr.-Ing. Werner Henkel
• 金额: --
• 依托单位: Department of Computer Science and Electrical Engineering
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/218874748?language=en
• 关键词: Coordinated; cancellation; correction; non; stationary

We report about the results of the second project phase addressing all the four work packages that were once envisaged in the application. From the treatment of LDPC codes in impulse noise and a Markov modeling of the impulse noise memory, an open question evolved, namely how the noise state estimation can be improved by a joint treatment of LDPC decoding and Markov state estimation. So far, impulsive states are determined by a simple, yet optimized threshold decision, which already offers a close to optimum performance. The small leftover gap to optimum performance may even be closed by interlinking state estimation and iterative decoding. We also report about the use of lattice space-time codes, where we leave one spatial dimension for impulse-noise detection and derive the detection threshold and the pairwise error probability. Furthermore, a simple repetition-based amplify-and-forward relaying situation is studied and the optimum combiner is derived. Additionally, we professionalized the parameter estimation based on impulse-noise measurements showing the nice fit of Middleton’s Class A model. In the first project phase, we already started some studies applying our impulse-noise treatment to impulses of aeronautical distance measurement equipment. Now, we managed to determine an optimum receiver which obtains a performance close to the disturbance-free case.

我们报告的第二个项目阶段的结果，解决所有四个工作包，曾经设想的应用程序。从脉冲噪声中LDPC码的处理和脉冲噪声记忆的马尔可夫建模，一个开放的问题，即如何通过LDPC解码和马尔可夫状态估计的联合处理来改善噪声状态估计。到目前为止，脉冲状态是由一个简单的，但优化的阈值决定，它已经提供了一个接近最佳的性能。最佳性能的小剩余间隙甚至可以通过互连状态估计和迭代解码来闭合。我们还报告了格型空时码的使用，其中我们为脉冲噪声检测留下一个空间维度，并推导出检测阈值和成对错误概率。此外，一个简单的重复为基础的放大和转发中继的情况进行了研究，并推导出最佳的组合器。此外，我们专业化的脉冲噪声测量的基础上的参数估计显示米德尔顿的A类模型很好的配合。在第一个项目阶段，我们已经开始了一些研究，将我们的脉冲噪声处理应用于航空测距设备的脉冲。现在，我们设法确定了一个最佳的接收器，获得接近无干扰的情况下的性能。

项目成果

Measurements and modeling of impulse noise at the 2.4 GHz wireless LAN band

2 4 GHz 无线 LAN 频段脉冲噪声的测量和建模

• DOI: 10.1109/globalsip.2017.8308609
• 发表时间: 2017
• 期刊: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
• 作者: K. A. Saaifan;W. Henkel
• 通讯作者: W. Henkel

Efficient Nonlinear Detector of Binary Signals in Rayleigh Fading and Impulsive Interference

瑞利衰落和脉冲干扰中二进制信号的高效非线性检测器

• DOI: 10.1109/vtcfall.2012.6399303
• 发表时间: 2012
• 期刊: 2012 IEEE Vehicular Technology Conference (VTC Fall)
• 作者: K. A. Saaifan;K. Hassan;W. Henkel
• 通讯作者: W. Henkel

A nonlinear diversity combiner of binary signals in the presence of impulsive interference

存在脉冲干扰时二进制信号的非线性分集组合器

• DOI: 10.1109/icc.2013.6655029
• 发表时间: 2013
• 期刊: 2013 IEEE International Conference on Communications (ICC)
• 作者: K. A. Saaifan;W. Henkel
• 通讯作者: W. Henkel

Cancelation of Distance Measuring Equipment Interference for Aeronautical Communications

航空通信测距设备干扰的消除

• DOI: 10.1109/taes.2017.2728958
• 发表时间: 2017
• 期刊: IEEE Transactions on Aerospace and Electronic Systems
• 影响因子: 4.4
• 作者: K. A. Saaifan;A. Elshahed;W. Henkel
• 通讯作者: W. Henkel

Lattice coding for MIMO systems in impulse noise

• DOI: 10.1109/icumt.2017.8255182
• 发表时间: 2017-11
• 期刊: 2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
• 作者: Khodr A. Saaifan;N. Islam;W. Henkel