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Reduced-state noncoherent MLSD method for CPM in aeronautical telemetry

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The Journal of China Universities of Posts and Telecommunications 2020年第4期27卷 43-53页

作者： Zhou You duan ruifeng Jiang Bofeng School of Electoric and Information Engineering Beihang UniversityBeijing 100191China School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Beijing Xinwei Technology Group.Co. LtdBeijing 100193China

Due to high spectral efficiency and power efficiency, the continuous phase modulation(CPM) technique with constant envelop is widely used in range telemetry. How to improve the bit error rate(BER) performance of CPM and keep a reasonable computational complexity is the key of the entire telemetry system and the focus of research and engineering design. In this paper, a reduced-state noncoherent maximum likelihood sequence detection(MLSD) method for CPM is proposed. In the proposed method, the criterion of noncoherent MLSD is derived for CPM when the carrier phase is unknown. A novel Viterbi algorithm(VA) with modified state vector is designed to simplify the implementation of noncoherent MLSD. Both analysis and numerical results show that the proposed method reduces the computational complexity significantly and does not need accurate carrier phase recovery, which overcomes the shortage of traditional MLSD method. Additionally, the proposed method exceeds the traditional MLSD method when carrier phase deviation exists.

关键词： CPM low-complexity noncoherent detection MLSD Viterbi algorithm

CNN demodulation model with cascade parallel crossing for CPM signals

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The Journal of China Universities of Posts and Telecommunications 2024年第3期31卷 30-42页

作者： Yang Jiachen duan ruifeng Li Chengju School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China

The continuous phase modulation(CPM)technique is widely used in range telemetry due to its high spectral efficiency and power ***,the demodulation performance of the traditional maximum likelihood sequence detection(MLSD)algorithm significantly deteriorates in non-ideal synchronization or fading *** address this issue,this work proposes a convolutional neural network(CNN)called the cascade parallel crossing network(CPCNet)to enhance the robustness of CPM signals *** CPCNet model employs a multiple parallel structure and feature fusion to extract richer features from CPM *** approach constructs feature maps at different levels,resulting in a more comprehensive training of the model and improved demodulation *** results show that under Gaussian channel,the proposed CPCNet achieves the same bit error rate(BER)performance as MLSD method when there is no timing error,but with 1/4 symbol period timing error,the proposed method has 2 dB demodulation gain compared with CNN and convolutional long short-term memory deep neural network(CLDNN).In addition,under Rayleigh channel,the BER of the proposed method is reduced by 5%-87%compared to that of MLSD in the wide signal-to-noise ratio(SNR)region.

关键词： continuous phase modulation(CPM) convolutional neural network(CNN) maximum likelihood sequence detection(MLSD) Rayleigh fading timing error

Non-Cooperative Differential Game Based Energy Consumption Control for Dynamic Demand Response in Smart Grid

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China Communications 2019年第8期16卷 107-114页

作者： Manxi Wang Haitao Xu Shengsong Yang Lifeng Yang ruifeng duan Xianwei Zhou State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang 471003China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China

In this paper, we conduct research on the dynamic demand response problem in smart grid to control the energy consumption. The objective of the energy consumption control is constructed based on differential game, as the dynamic of each users’ energy state in smart gird can be described based on a differential equation. Concept of electricity sharing is introduced to achieve load shift of main users from the high price hours to the low price hours. Nash equilibrium is given based on the Hamilton equation and the effectiveness of the proposed model is verified based on the numerical simulation results.

关键词： energy consumption dynamic demand response smart grid differential game nash equilibrium

A High Resolution Convolutional Neural Network with Squeeze and Excitation Module for Automatic Modulation Classification

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China Communications 2024年第10期21卷 132-147页

作者： duan ruifeng Zhao Yuanlin Zhang Haiyan Li Xinze Cheng Peng Li Yonghui School of Information Science and Technology Bejing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China Department of Computer Science and Information Technology La Trobe UniversityMelbourneVIC 3086Australia School of Electrical and Information Engineering the University of SydneySydneyNSW 2006Australia

Automatic modulation classification(AMC) technology is one of the cutting-edge technologies in cognitive radio communications. AMC based on deep learning has recently attracted much attention due to its superior performances in classification accuracy and robustness. In this paper, we propose a novel, high resolution and multi-scale feature fusion convolutional neural network model with a squeeze-excitation block, referred to as HRSENet,to classify different kinds of modulation *** proposed model establishes a parallel computing mechanism of multi-resolution feature maps through the multi-layer convolution operation, which effectively reduces the information loss caused by downsampling convolution. Moreover, through dense skipconnecting at the same resolution and up-sampling or down-sampling connection at different resolutions, the low resolution representation of the deep feature maps and the high resolution representation of the shallow feature maps are simultaneously extracted and fully integrated, which is benificial to mine signal multilevel features. Finally, the feature squeeze and excitation module embedded in the decoder is used to adjust the response weights between channels, further improving classification accuracy of proposed *** proposed HRSENet significantly outperforms existing methods in terms of classification accuracy on the public dataset “Over the Air” in signal-to-noise(SNR) ranging from-2dB to 20dB. The classification accuracy in the proposed model achieves 85.36% and97.30% at 4dB and 10dB, respectively, with the improvement by 9.71% and 5.82% compared to ***, the model also has a moderate computation complexity compared with several state-of-the-art methods.

关键词： automatic modulation classification deep learning feature squeeze-and-excitation high-resolution multi-scale

HDCGD-CBAM:Satellite Interference Recognition Algorithm Based on Improved CLDNN and CBAM

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China Communications 2024年第12期21卷 257-274页

作者： duan ruifeng Chen Ziyu Meng Wei Wang Xu Yang Guoting Cheng Peng Li Yonghui School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China Jining Economic and Social Development Research Center Jining 272000China School of Electrical and Information Engineering the University of SydneySydneyNSW 2006Australia Department of Computer Science and Information Technology La Trobe UniversityMelbourneVIC 3086Australia

Satellite communication systems are facing serious electromagnetic interference,and interference signal recognition is a crucial foundation for targeted *** this paper,we propose a novel interference recognition algorithm called HDCGD-CBAM,which adopts the time-frequency images(TFIs)of signals to effectively extract the temporal and spectral *** the proposed method,we improve the Convolutional Long Short-Term Memory Deep Neural Network(CLDNN)in two ***,the simpler Gate Recurrent Unit(GRU)is used instead of the Long Short-Term Memory(LSTM),reducing model parameters while maintaining the recognition ***,we replace convolutional layers with hybrid dilated convolution(HDC)to expand the receptive field of feature maps,which captures the correlation of time-frequency data on a larger spatial ***,Convolutional Block Attention Module(CBAM)is introduced before and after the HDC layers to strengthen the extraction of critical features and improve the recognition *** experiment results show that the HDCGD-CBAM model significantly outper-forms existing methods in terms of recognition accuracy and *** Jamming-to-Signal Ratio(JSR)varies from-30dB to 10dB,it achieves an average accuracy of 78.7%and outperforms the CLDNN by 7.29%while reducing the Floating Point Operations(FLOPs)by 79.8%to ***,the proposed model has fewer parameters with 301k compared to several state-of-the-art methods.

关键词： attention mechanism CLDNN HDC interference recognition satellite communication

基于CC1310芯片的多通道高速率低功耗无线传感系统

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北京航空航天大学学报 2022年第11期48卷 2177-2185页

作者：段瑞枫吕燕洁杜文基周游北京林业大学信息学院北京100083 国家林业草原林业智能信息处理工程技术研究中心北京100083 北京航空航天大学电子信息工程学院北京100191 中国科学院计算机网络信息中心北京100190 中国科学院大学计算机科学与技术学院北京100049 芯擎科技有限公司北京100012

为有效减轻新一代运载火箭传感器数据采集与传输系统的质量,设计并实现了基于CC1310芯片的无线传感器系统。采用频分复用(FDM)结合时分复用(TDM)的方式完成多节点组网并实施分组管理,组间频分复用既实现了节点数的扩增,又提升了传输速... 详细信息

为有效减轻新一代运载火箭传感器数据采集与传输系统的质量,设计并实现了基于CC1310芯片的无线传感器系统。采用频分复用(FDM)结合时分复用(TDM)的方式完成多节点组网并实施分组管理,组间频分复用既实现了节点数的扩增,又提升了传输速率复用倍数,分组数为4时子节点数量可达100个以上。提出主节点授时法结合多节点分时传输协议的优化设计方法,保证多节点高精准同步,避免节点间碰撞,获得了最优的组内可达速率;设计节点唤醒/休眠模式切换策略,有效降低了系统功耗。实测结果表明:2个主节点带5个子节点并行工作时,传输速率可达400 Kbps,且主节点数量增加时,系统的传输速率成比例增大;单个子节点忙时功耗不超过60 mW,闲时功耗不超过12 mW,平均功耗为15.2 mW,符合低功耗要求;同时,所设计的无线传感系统具备良好的可靠性和鲁棒性。

关键词： CC1310 无线组网通信时间同步高速率低功耗

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Upregulation of long noncoding RNA MEG3 Induced by Heat Stress Contributes to Apoptosis of Rat Cardiomyocytes via Promoting TR3 Transcription

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Upregulation of long noncoding RNA MEG3 Induced by Heat Stre...

基于PCIe级联网口的农业监测视频高速传输系统研究

中国生物化学与分子生物学会第十二届全国会员代表大会暨2018年全国学术会议

作者： Xinxing Wang Zhaoli Chen Weili Liu Tianhui Wang ruifeng duan Yingying Li Lingling Pu Bingnan Deng Environmental Medicine Laboratory Tianjin Institute of Environmental and Operational Medicine

Mitochondria play a key role in cardiomyocytes apoptosis induced by heat *** previous study indicate that TR3 binding to mitochondria and induces apoptosis under ***,the alteration of TR3 responding environmental heat stress is far from fully *** present study,for the first time to the best of our knowledge,discovered that environmental thermal exposure led to MEG3 upregulation,consequently upregulate ELK1 transcription and increasing TR3 transcription,in turn resulting in decline of mitochondria membrane potential(ΔΨm) and apoptosis of ***,MEG3 upregulation was attributed to heat stress-induced c-Myc expression,while ELK1 upregulation was due to the increasing translation of c-Jun induced by ***,TR3 transcription was upregulated via increasing its transcription factor ELK1 the resultant from c-jun upregulation in heat stress ***,we uncover that heat stress exposure results in c-Myc induction and MEG3 expression elevation,further promotes c-Jun translation and in turn initiates ELK1 transcripton,leading to increase of TR3 protein trancription,and decline of mitochondria membrane potential(ΔΨm) as well as apoptosis of *** present study provided a significant insight into understanding the alteration and role of TR3 in heat stress cardiomyocytes.

关键词： TR3 ELK1 c-Myc MPTP Heat Stress

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农业机械学报 2024年第3期55卷 203-212页

作者：段瑞枫陈艳洪凯张就张海燕北京林业大学信息学院北京100083 国家林业草原林业智能信息处理工程技术研究中心北京100083 北京航空航天大学软件学院北京100191

农业监测智慧化需要实时、高效、可靠的视频数据处理和传输方案,为了解决传统基于CPU和GPU架构的系统速率低、实时性差的问题,设计了基于Zynq架构的PCIe级联网口的高速传输系统。针对PCIe接口开发,在硬件层面,优化配置XDMA IP核参数,完... 详细信息

农业监测智慧化需要实时、高效、可靠的视频数据处理和传输方案,为了解决传统基于CPU和GPU架构的系统速率低、实时性差的问题,设计了基于Zynq架构的PCIe级联网口的高速传输系统。针对PCIe接口开发,在硬件层面,优化配置XDMA IP核参数,完成接口的数据收发引擎设计,并基于MIG 7 IP核优化配置了DDR缓存区。在软件层面,基于PCIe驱动,调度VLC软件完成视频数据读取,实现板卡和上位机之间数据的快速收发和流畅播放。针对网口协议栈的实现,利用ARM可编程特性,调度LWIP轻量级协议栈,完成TCP协议的开发,实现了网口的数据快速收发,避免了上位机CPU直接处理网络协议的时延和运算开销。此外调度AXI协议完成PCIe接口和网口的高速连通。在Zynq MZ7030FA平台上传输视频文件对系统进行速率和可靠性实测。结果表明:网口传输速率达800 Mb/s,基本实现了千兆以太网;PCIe接口的最高传输速率达816 MB/s,逼近硬件PCIe 2.0 x2的最高速率,且整个系统在应用层上实现了可靠传输。本文的研究为农业监测视频传输应用提供了高效可靠的解决方案,且系统具有较好的扩展性和推广性。

关键词：农业监测高速传输片上系统现场可编程门阵列 PCIe高速接口千兆以太网

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一种低复杂度的极低信噪比高动态信号载波粗捕获算法

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航空学报 2013年第3期34卷 662-669页

作者：段瑞枫刘荣科周游王闰昕侯毅北京航空航天大学电子信息工程学院北京100191

针对传统的时域匹配平均周期图算法计算复杂度高的问题,对极低信噪比高动态信号的载波粗捕获算法进行了研究,提出了一种改进的带有补零的频域移位平均周期图算法。该算法采用多速率频域移位运算简化了多支路多普勒变化率匹配,与原算法相... 详细信息

针对传统的时域匹配平均周期图算法计算复杂度高的问题,对极低信噪比高动态信号的载波粗捕获算法进行了研究,提出了一种改进的带有补零的频域移位平均周期图算法。该算法采用多速率频域移位运算简化了多支路多普勒变化率匹配,与原算法相比,其计算复杂度降低倍数为匹配支路数与补零倍数之比,捕获性能几乎不损失。给出了算法中影响捕获性能与计算复杂度的关键参数设计方法。在信噪比(SNR)为-41dB(载噪比C/N0=18dBHz)、载波多普勒频偏为-300～300kHz、多普勒变化率为-800～800Hz/s、码速率为20bps条件下对两种算法进行了仿真,结果表明在基本满足后级载波跟踪需求条件下,即频偏精度均达±12Hz时,多普勒变化率精度均达±25Hz/s,捕获概率都在90%以上时,改进算法捕获时间比原算法增加了8%,计算复杂度降低了70%。

关键词：极低信噪比高动态时域匹配频域移位频率估计补零计算复杂度