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Deep Spectrum Prediction in High Frequency communication Based on Temporal-Spectral Residual Network

China communications 2018年第9期15卷 25-34页

作者： Ling Yu Jin Chen Yuming Zhang Huaji Zhou Jiachen Sun College of Communications Engineering Army Engineering University of PLA Nanjing 210000 China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 China

High frequency(HF) communication is widely spread due to some merits like easy deployment and wide communication coverage. Spectrum prediction is a promising technique to facilitate the working frequency selection and enhance the function of automatic link establishment. Most of the existing spectrum prediction algorithms focus on predicting spectrum values in a slot-by-slot manner and therefore are lack of timeliness. Deep learning based spectrum prediction is developed in this paper by simultaneously predicting multi-slot ahead states of multiple spectrum points within a period of time. Specifically, we first employ supervised learning and construct samples depending on longterm and short-term HF spectrum data. Then, advanced residual units are introduced to build multiple residual network modules to respectively capture characteristics in these data with diverse time scales. Further, convolution neural network fuses the outputs of residual network modules above for temporal-spectral prediction, which is combined with residual network modules to construct the deep temporal-spectral residual network. Experiments have demonstrated that the approach proposed in this paper has a significant advantage over the benchmark schemes.

关键词： HF communication deep learning spectrum prediction temporal-spectral residual network

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A Passive Navigation Algorithm Based on Derivative Dynamic Time Regularization Geomagnetic Matching 2

A Passive Navigation Algorithm Based on Derivative Dynamic T...

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2021 2nd International Conference on Modeling, Big Data Analytics and Simulation, MBDAS 2021

作者： Wang, Yiteng Bao, Jinhong Li, Zehua Science and Technology on Communication Information Security Control Laboratory China No.36 Research Institute of China Electronics Technology Group Corporation China College of Telecommunication Engineering Hangzhou Dianzi University Hangzhou310018 China

As satellite positioning has shortcomings such as susceptibility to multipath interference, we look forward to using a new algorithm to solve these problems. The method of derivative dynamic time regularization is used as the matching method of geomagnetic navigation. Due to the factors of the inertial device itself, a certain cumulative error will occur in the positioning solution of the inertial navigation (INS). Therefore, an outdoor error model needs to be established, and the positioning error is corrected by filtering technology. To solve this problem, the Unscented Kalman Filter is used to fuse the positioning results of the two to obtain a more accurate positioning, with an average accuracy within 1.5 meters. © Published under licence by IOP Publishing Ltd.

关键词： Kalman filters

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An Optimal Beamforming Model for Aperture-Level Phased Array Full-Duplex 13

An Optimal Beamforming Model for Aperture-Level Phased Array...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Chen, Jiarui Chen, Shunyang Huang, Xiaoguo Zhang, Qi Zhu, Menglei Science And Technology On Communication Information Security Control Laboratory Jiaxing314033 China

ISBN: (纸本)9781665434379

Full-duplex, which aims to simultaneously transmitting and receiving over the same band, together with phased array antennas play fundamental roles in next-generation wireless communication systems. The combination of them, phased array fullduplex, is widely accepted as a promising way for realizing practical full-duplex communications. However, diversified application scenarios and rapidly grown system complexity hinder the development of PAFD. In this work, we present a spatial domain selfinterference suppression method for the implementation of fullduplex in digital phased array architectures. By taking advantage of the flexibility of fully-digital phased array, a novel computation framework is constructed to effectively optimize the transmitting beamforming weights in order to maximize the desired beamforming gains of the transmitting sub-array while simultaneously reducing the self-interference received by receiving sub-array. Our work demonstrates the capability of spatial domain methods in digital phased array and paves the way for practical full-duplex communications. © 2021 IEEE.

关键词： Beamforming

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Recognition and parameter estimation of MPSK signals based on instantaneous phase difference

Recognition and parameter estimation of MPSK signals based o...

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6th International Conference on Wireless communications, Networking and Mobile Computing (WICOM)

作者： Song, Chunyun Zhan, Yi Guo, Lin National Laboratory of Information Control Technology for Communication System 2. No.36 Research Institute of CETC Zhejiang China Shanghai Acoustic Laboratory Institute of Acoustic Chinese Academy of Science Shanghai China

ISBN: (纸本)9781424437092

There many researches about modulation mode classification of the MPSK signals, but these studies pay few attentions to some especial MPSK signals such as OQPSK or pi/4QPSK. However, the signals are very important in the digital communications. The method of classification of the QPSK, OQPSK, pi/4QPSK and 8PSK has discussed in this paper, because these MPSK signals have similar constellations or spectrum. The method of the classification and parameter estimation based on the statistical and spectral characters of the instantaneous phase difference (IPD) is proposed. The simulation results of the digital signals indicate that this method is availability when the SNR is higher than 5dB.

关键词： modulation recognition parameter estimation instantaneous phase difference OQPSK pi/4QPSK

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Research and Software Realization of Broadband Multi-channel and Multi-rate Signal Demodulation

Research and Software Realization of Broadband Multi-channel...

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2015 IEEE 16th International Conference on communication technology(ICCT 2015)

作者： Wei Shi Jinfang Meng Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC

Demodulation of multi-channel and multi-rate broadband signal is an important technology in digital communication and reconnaissance processing. Based on the design concept of software radio, after the study of symbol synchronization and carrier synchronization technology in demodulation process, this paper proposed a automatic demodulation scheme of multi-channel and multi-rate broadband signal. According to the AltiVec technology, the CACHE technology, the accelerating optimization softwarein of multi-core collaborative stream processing, this demodulation algorithm is realized on the digital processing platform of T4240 multicore processors. Finally QPSK signal is taken as an example to complete the experiment and result *** results show that the performance of demodulation algorithm is higher, and the method of multi-channel and multi-rate broadband signal demodulation in software way has the advantages that the software is easier to implement, the algorithm is easier to upgrade and maintain, the parameters of demodulation signal are more easily to be configurated. According to optimizing processing, the real-time processing ability of the algorithm is stronger, and it can meet the demodulation performance requirements of more channel and wider broadband signal.

关键词： Symbol synchronization Carrier synchronization Software radio T4240 AltiVec

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Primary User Adversarial Attacks on Deep Learning-Based Spectrum Sensing and the Defense Method

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China communications 2021年第12期18卷 94-107页

作者： Shilian Zheng Linhui Ye Xuanye Wang Jinyin Chen Huaji Zhou Caiyi Lou Zhijin Zhao Xiaoniu Yang Science and Technology on Communication Information Security Control Laboratory Jiaxing314000China College of Information Engineering Zhejiang University of TechnologyHangzhou310012China Institute of Cyberspace Security Zhejiang University of TechnologyHangzhou310012China School of Communication Engineering Hangzhou Dianzi UniversityHangzhou310018China

The spectrum sensing model based on deep learning has achieved satisfying detection per-formence,but its robustness has not been *** this paper,we propose primary user adversarial attack(PUAA)to verify the robustness of the deep learning based spectrum sensing *** adds a care-fully manufactured perturbation to the benign primary user signal,which greatly reduces the probability of detection of the spectrum sensing *** design three PUAA methods in black box *** or-der to defend against PUAA,we propose a defense method based on autoencoder named *** apply the long short-term memory network and the convolutional neural network together to DeepFilter,so that it can extract the temporal and local features of the input signal at the same time to achieve effective *** experiments are conducted to eval-uate the attack effect of the designed PUAA method and the defense effect of *** show that the three PUAA methods designed can greatly reduce the probability of detection of the deep learning-based spectrum sensing *** addition,the experimen-tal results of the defense effect of DeepFilter show that DeepFilter can effectively defend against PUAA with-out affecting the detection performance of the model.

关键词： spectrum sensing cognitive radio deep learning adversarial attack autoencoder defense

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A Compact Complex-valued MIMO Detector and its FPGA Implementation

A Compact Complex-valued MIMO Detector and its FPGA Implemen...

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2015 IEEE 16th International Conference on communication technology(ICCT 2015)

作者： Yu Han Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC

This paper presents a compact and efficient hard output MIMO detection and its FPGA implementation. Our method is based on a complex-valued decomposition and a highly compact expansion, which needs least number of visited nodes and a half of tree depth than previously published K-best designs. We propose a fully pipelined architecture,combining with resource sharing to realize the ***, our complex-valued MIMO detector is implemented and validated on a Xilinx FPGA device for a 16-QAM modulation and 4×4 antenna *** implementation results show that the proposed detector is hardware efficient and has a 395 Mbps throughput with about 0.2dB performance loss.

关键词： MIMO Hard detection FPGA implementation Pipelined architecture

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Leveled Group Key Management with Efficient Revocations for Wireless Sensor Networks

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电子学报(英文版) 2009年第3期18卷 494-499页

作者： LI Fenghua YAN Junzhi MA Jianfeng WANG Wei Key Laboratory of Computer Networks and Information Security (Ministry of Education) Xidian University Xi＇an 710071 China Graduate School Beijing Electronic Science and Technology Institute Beijing 100070 China No.36 Research Institute of CETC Jiaxing 314033 China

Wireless sensor networks are often deployed in hostile environments. Protecting the communication against node capture is one of the most important design objectives. Focused on the revocations of resource constrained nodes, an efficient leveled group key management scheme is proposed. This scheme is based on a novel application of an a-ary logical key tree. Since sensor nodes may leave or join the WSN frequently, a sublevel session key is introduced to protect the sensitive information transmitted in the network. In a leave event, the rlegal sensors in the key tree are partitioned into disjointed subtrees. The group key can be updated securely by encrypting the new group key with the common keys shared by the sensors in the same subtree. When a sensor requests to join the communication group, it is assigned a sublevel session key which is used to communicate with GCKS and other legal sensors. The current session key is sent to the new sensor only after it gets the trust of GCKS. This scheme is scalable, stateless and simple to employ.

关键词：无线传感器网络组密钥管理撤销传感器节点会话密钥逻辑密钥树设计目标资源约束

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Study on Network Topology Evolution Model and Strategies in Hostility Surroundings

Study on Network Topology Evolution Model and Strategies in ...

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2015 IEEE 16th International Conference on communication technology(ICCT 2015)

作者： Hong-wa Yang Min Wang Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC

Multi-hop wireless network is one of the most important military communication networks. In hostility environment, the network topology evolution is driven by both attacker and defender. In order to reveal the law of network topology evolution, the network architecture is analyzed at first. Secondly, the network mathematic model and dynamic topology evolution model are established. After that the validity evaluation rules of network topology are proposed. Finally, some offensive and defensive strategies are given. The proposed model and strategies can be used in both network attack and defending.

关键词： Multi-hop wireless network Topology evolution model Network attack and defend strategies

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A new real-time calculating method for TDOA and FDOA passive location

A new real-time calculating method for TDOA and FDOA passive...

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2016年第二届能源设备科学与工程国际学术会议

作者： Yiming Zhou Jiawei Zhu No.36 Research Institute of CETC Science and Technology on Communication Information Security Control Laboratory

By researching on the differential evolution(DE)algorithm and passive localization model of two-station time difference of arrival(TDOA)and frequency difference of arrival(FDOA),a new calculating method based on DE algorithm is proposed for real-time *** precision position estimating employing time cumulate TDOA and FDOA values is also solved by this *** cases using both Instantaneous and multiple measurements are simulated,which show the more excellent performance on realtime effect and location precision comparing with unscented Kalman filter(UKF)*** location precision almost achieves the Cramer-Rao low bound(CRLB).Due to the simple principle and easy realization,this method is suitable for project application.

关键词： A new real-time calculating method for TDOA and FDOA passive location

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