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检索条件"机构=Science and Technology on Communication Information Security Control Laboratory NO.36"

共 353 条记录，以下是71-80 订阅

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A Analysis of Attack and Defense Mobile Ad Hoc Network Based on OPNET

A Analysis of Attack and Defense Mobile Ad Hoc Network Based...

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作者： Jiahao Dai Xiaofeng Xu Science and Technology on Communication Information Security Control Laboratory China Electronic Group Corporation No.36 Institute

Due to the broadcast nature of wireless communications, the damage to mobile ad hoc networks is becoming more and more common. We propose a network stability model that can effectively reflect the network performance when the network is damaged in real time. The Ad Hoc network model is built by using the node model supporting the IEEE802.11 standard provided by OPNET software to simulate the network performance of the network under different degrees of damage. This model provides an effective way for the simulation analysis of network performance under the condition of Ad Hoc network damage.

关键词： OPNET Ad Hoc networks stability network defense

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Blind identification of MIMO Space-Time Block Codes Based on Convolutional Neural Network 21

Blind identification of MIMO Space-Time Block Codes Based on...

引用

Proceedings of the 7th International Conference on communication and information Processing

作者： Conglin Pan Si Chen Huijie Zhu Wei Wu Jiachuan Qian Lijun Wang Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC China and School of Electronic and Optical Engineering Nanjing University of Science and Technology China Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC China

ISBN: (纸本)9781450385190

Aiming at the blind identification of space-time block codes (STBC) in multiple input multiple output (MIMO) system, this paper proposes a new convolutional neural network (CNN-N) to realize the blind identification. Compared to traditional algorithms using statistical features of received signal, CNN-N can reduce the computation with a higher correct identification rate. Consist of multiple layers with special functions, CNN-N has good generalization ability in complex MIMO channels. The network in this paper can recognize 6 STBC codes include spatial multiplexing signal (SM) and some OSTBC codes. The simulation result shows that this new convolutional neural network can finish STBC identification with a high correct rate even in low SNR by consuming moderate amounts of time.

关键词： Generalization Ability Convolutional Neural Network Blind Identification STBC MIMO

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Artificial Intelligence-Aid OTFS Receiver: Design and Performance Evaluation

Artificial Intelligence-Aid OTFS Receiver: Design and Perfor...

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2023 International Conference on Ubiquitous communication, Ucom 2023

作者： Wang, Chenxi Qian, Li Ping Zhu, Huijie College of Information Engineering Zhejiang University of Technology Hangzhou China The 36th Research Institute of China Electronics Technology Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9798350340433

OTFS technology is attracting much attention due to its strong adaptability to high-speed mobility and high spectrum efficiency. Studies show that applying deep learning (DL) to traditional communication systems significantly improves their performance. To this end, this paper proposes an AI-Aid OTFS receiver to enhance the performance of OTFS systems in high-speed mobile communication scenarios. The proposed receiver employs two networks-a channel estimation network called TFNet and a decoding network called RecovNet. In the channel estimation module, TFNet performs more accurate channel estimation based on the results of traditional channel estimation methods. In the decoding module, RecovNet decodes the signal based on the equalized signals. To validate the superiority of our proposed receiver, we conduct comparative testing with a traditional receiver under the integer Doppler channel. The experimental results demonstrate that integrating DL technology in OTFS systems effectively enhances their performance. © 2023 IEEE.

关键词： Decoding

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Target-Before-Detect Algorithm for Passive MIMO Radar Based on Improved Particle Filter

Target-Before-Detect Algorithm for Passive MIMO Radar Based ...

引用

2022 Global Conference on Robotics, Artificial Intelligence and information technology, GCRAIT 2022

作者： Zhou, Yawen Zhu, Jiawei Song, Tingsong Yao, Siyi Lai, Rui Guo, Yuning School of Electronic Science and Technology University Chengdu China Information Security Control Laboratory Science and Technology on Communication Jiaxing China

ISBN: (数字)9781665481922

ISBN: (纸本)9781665481922

In order to improve the target detection performance of passive multiple-input-multiple-output (PMR) radar system, a Target-Before-Detect (TBD) algorithm based on improved particle filter is proposed in this paper. As a classical TBD algorithm, particle filter algorithm can realize the gain accumulation of target signal in time domain and effectively improve the performance of target detection. Although this algorithm has performed well in passive single-input-single-output (SISO) radar (PSR) systems, it cannot be directly applied to PMR systems. Therefore, an improved particle filtering algorithm based on passive MIMO radar is proposed in this paper. This method takes advantage of the PMR spatial accumulation and proposes a novel particle weight calculation method, which uses the false alarm probability distribution of detector to calculate the weight of the particle, so as to obtain the gain accumulation of the target in time and space. The simulation results show that the detection probability of the proposed algorithm can reach 90% even when the target-path signal-To-noise ratio (SNR) is low. Meanwhile, the good detection performance of the proposed algorithm is verified by comparing with the single frame detection results. © 2022 IEEE.

关键词： Probability distributions

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Research on GPU Parallel Acceleration of Efficient Coherent Integration Processor for Passive Radar 3rd

Research on GPU Parallel Acceleration of Efficient Coherent ...

引用

3rd EAI International Conference on Artificial Intelligence for communications and Networks, AICON 2021

作者： Bu, Zirong Wang, Lijun Zhu, Huijie Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China No. 36 Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9783030901950

The traditional algorithm of cross-ambiguity function requires a large amount of computation and storage capacity, which brings difficulties to real-time processing. In addition, the long-integration time will cause range migration problems, resulting in a decrease in the SNR, and reducing the weak target detection ability of the system. Based on the characteristics of the passive radar, this paper adopts the method of combining segmental frequency domain pulse compression and Keystone transform to correct the range migration in the target detection, which improves the detection ability of weak targets. However, due to the relatively large amount of data and computation of the algorithm, this paper takes the advantages of graphics processing unit (GPU) with large data throughput and strong floating-point computing capabilities to propose an efficient coherent integration method which is suitable for GPU parallel processing. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Graphics processing unit

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GPU-accelerated multipath clutter cancellation algorithm for dtmb-based passive radar

GPU-accelerated multipath clutter cancellation algorithm for...

引用

2020 International Conference on Engineering Management of communication and technology, EMCTECH 2020

作者： Bu, Zirong Zhu, Huijie Qian, Jiachuan Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China No. 36 Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9781665404488

In order to extract the target echo in the monitoring channel, the direct wave and the clutter should be suppressed in the signal processing of the passive radar. The batch version of the Extensive Cancellation Algorithm (ECA-B) is an effective time-domain clutter cancellation algorithm that can suppress direct waves and multipath clutter. And it has better robustness than ECA. However, ECA-B is a computationally intensive algorithm. Therefore, the Graphic Processing Unit (GPU) accelerated ECA-B algorithm has been studied and implemented on GPU by exploring the parallelism of the ECA-B algorithm. The paper contains the description of the algorithm implementation and the performance results analysis of the measured data. © 2020 IEEE.

关键词： Graphics processing unit

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Modulation Signal Recognition Based on Feature Fusion and Residual CNN in Fractal Noise Background 6

Modulation Signal Recognition Based on Feature Fusion and Re...

引用

6th International Conference on Signal and Image Processing, ICSIP 2021

作者： Chen, Di Xiong, Gang Huang, Baigang Wang, Lijun No.36 Research Institute of Cetc Science and Technology On Communication Information Security Control Laboratory Jiaxing China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Institute of Navigation and Sensing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9780738133737

In this paper, a modulated signal recognition method based on feature fusion and ResCNN (FF-ResCNN) under generalized fractal noise background is proposed. Firstly, in the feature extraction and fusion part, considering the robustness, anti-noise and interpretability of the features, the fusion feature vectors of generalized fractal spectrum, instantaneous feature and high-order cumulant feature are constructed. Secondly, in order to suppress the possible gradient and degradation problems, the ResCNN model is used to train and classify the fusion features when the CNN model is used to further collect the deep-level abstract features. Finally, feature extraction, feature fusion and classification experiments are carried out for nine modulated signals under two noise types (GWN and fractal noise). Experimental results show that in the case of generalized fractal noise, when SNR=0dB, the recognition accuracy of signal modulation type reaches 95.42%, which verifies the superiority of the proposed method. At the same time, the simulation analysis is carried out for different feature fusion schemes, which provides a valuable reference for feature combination optimization under different noise environment. © 2021 IEEE.

关键词： Feature extraction

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Timing and carrier synchronization algorithm of MQAM signal

Timing and carrier synchronization algorithm of MQAM signal

引用

2021 International Conference on Signal Image Processing and communication, ICSIPC 2021

作者： Zhou, Huaji Yang, Lifeng Lei, Yingke Science and Technology on Communication Information Security Control Laboratory Jiaxing China National University of Defense Technology Hefei China

ISBN: (数字)9781510645417

ISBN: (纸本)9781510645400

This paper is focused on the synchronization algorithm of the blind demodulation in the case of unknown any prior information, which is aiming to meet the requirement of blind demodulation of MQAM signal when non-cooperative communication. After the signal passes through the Gaussian channel, in order to correct the time offset, the Gardner timing loop based on the FIR pre-filtering of self-noise reduction is studied and the carrier synchronization loop based on PD algorithm and DD algorithm switching principle is aiming to correct the phase offset. Through the simulation signal respectively on the timing and carrier loop simulation, the results show that the design Loop synchronization effect is good, in the project has a greater application value. © 2021 SPIE.

关键词： Demodulation

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A Study on the Influence of Bit Error Ratio against Jamming Signal Ratio under Different Channel Jamming

A Study on the Influence of Bit Error Ratio against Jamming ...

引用

International Symposium on Computational Intelligence and Design, ISCID

作者： Huan Li Wenhua Ye No.36 Research Institute of CETC Jiaxing Zhejiang China Science Technology on Communication Information Security Control Laboratory

ISBN: (纸本)9781509035595

The performance of digital communication systems, depending on the signal modulation and demodulation. In this paper, loading several different jamming pattern to different digital communication modulation system models, the bit error rate(BER) under different conditions of jamming signal ratio(JSR) was in statistics through a large number of statistical simulation, the graph is giving to illustrate the comparative relationship of JSR and BER, the comparative Analysis under different channel jamming pattern is giving to illustrate the influence for different digital communication systems.

关键词： Jamming Modulation Digital communication Analytical models Receivers Rayleigh channels Lead

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Research on Multi - Target Data Association and Location Algorithm Based on Passive Multi - Sensor System 18

Research on Multi - Target Data Association and Location Alg...

引用

18th International Computer Conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2021

作者： Siyi, Yao Jianliang, Xu Weiguo, Shen Li, Wang Wanchun, Li School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

ISBN: (纸本)9781665413640

In this paper, the multi-target positioning research is carried out on the basis of a passive multi-sensor reconnaissance system, which requires an algorithm to solve the problem of multi-target data association and positioning in the presence of false alarms and missed detections (also named non-ideal). This paper proposes a new data association and localization algorithm. This new algorithm adopts the method of hierarchical association of data, achieves data association through coarse association and fine association, and finally deletes redundant targets through backtracking. The simulation results show the effectiveness and stability of the algorithm. © 2021 IEEE.

关键词： Data association Multi-target Non-ideal Passive multi-sensor

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