首页期刊导航|系统工程与电子技术（英文版）
期刊信息/Journal information
系统工程与电子技术（英文版）
系统工程与电子技术（英文版）

施荣

双月刊

1004-4132

tougaoxinxiang@263.net

010-68388406

100854

北京142信箱32分箱

系统工程与电子技术（英文版）/Journal Journal of Systems Engineering and ElectronicsCSCDCSTPCD北大核心EISCI
查看更多>>本刊是《中国科学引文数据库》来源期刊，被美国科学引文索引（SCIE）、美国工程索引（EI）和英国科学文摘（SA）等多家国内、外著名检索系统收录。它是面向高科技开发和应用的跨学科期刊，以传播新技术、促进学术交流为宗旨，坚持深度与广度、理论与应用相结合的方针，努力反映系统工程与电子技术两大领域的最新成就，报道的主要内容包括：系统科学、军事系统分析、飞行器控制、雷达、光电探测技术、信息获取与处理、运筹学管理与决策技术等。
正式出版
收录年代

    Design and implementation of code acquisition using sparse Fourier transform

    ZHANG ChenWANG JianFAN GuangtengTIAN Shiwei...
    1063-1072页
    查看更多>>摘要：Code acquisition is the kernel operation for signal synchronization in the spread-spectrum receiver.To reduce the computational complexity and latency of code acquisition,this paper proposes an efficient scheme employing sparse Fourier transform(SFT)and the relevant hardware architecture for field programmable gate array(FPGA)and application-specific inte-grated circuit(ASIC)implementation.Efforts are made at both the algorithmic level and the implementation level to enable merged searching of code phase and Doppler frequency with-out incurring massive hardware expenditure.Compared with the existing code acquisition approaches,it is shown from theoreti-cal analysis and experimental results that the proposed design can shorten processing latency and reduce hardware complex-ity without degrading the acquisition probability.
      原文链接:
    • 万方数据
    • 维普

    Analysis and inversion of target polarization characteristics based on pBRDF

    GU XiansongFU QiangWANG LiyaLIU Xuanwei...
    1073-1083页
    查看更多>>摘要：Imaging detection is an important means to obtain target information.The traditional imaging detection technology mainly collects the intensity information and spectral information of the target to realize the classification of the target.In practical applications,due to the mixed scenario,it is difficult to meet the needs of target recognition.Compared with intensity detection,the method of polarization detection can effectively enhance the accuracy of ground object target recognition(such as the cam-ouflage target).In this paper,the reflection mechanism of the target surface is studied from the microscopic point of view,and the polarization characteristic model is established to express the relationship between the polarization state of the reflected signal and the target surface parameters.The polarization charac-teristic test experiment is carried out,and the target surface parameters are retrieved using the experimental data.The results show that the degree of polarization(DOP)is closely related to the detection zenith angle and azimuth angle.The(DOP)of the target is the smallest in the direction of light source incidence and the largest in the direction of specular reflection.Different materials have different polarization charac-teristics.By comparing their DOP,target classification can be achieved.
      原文链接:
    • 万方数据
    • 维普

    A frequency domain estimation and compensation method for system synchronization parameters of distributed-HFSWR

    WANG HongyongSUO YingDENG WeiboWU Xiaochuan...
    1084-1097页
    查看更多>>摘要：To analyze the influence of time synchronization error,phase synchronization error,frequency synchronization error,internal delay of the transceiver system,and range error and angle error between the unit radars on the target detection per-formance,firstly,a spatial detection model of distributed high-frequency surface wave radar(distributed-HFSWR)is estab-lished in this paper.In this model,a method for accurate extrac-tion of direct wave spectrum based on curve fitting is proposed to obtain accurate system internal delay and frequency synchro-nization error under complex electromagnetic environment back-ground and low signal to noise ratio(SNR),and to compensate for the shift of range and Doppler frequency caused by time-fre-quency synchronization error.The direct wave component is extracted from the spectrum,the range estimation error and Doppler estimation error are reduced by the method of curve fit-ting,and the fitting accuracy of the parameters is improved.Then,the influence of frequency synchronization error on target range and radial Doppler velocity is quantitatively analyzed.The relationship between frequency synchronization error and radial Doppler velocity shift and range shift is given.Finally,the sys-tem synchronization parameters of the trial distributed-HFSWR are obtained by the proposed spectrum extraction method based on curve fitting,the experimental data is compensated to correct the shift of the target,and finally the correct target parameter information is obtained.Simulations and experimen-tal results demonstrate the superiority and correctness of the proposed method,theoretical derivation and detection model proposed in this paper.
      原文链接:
    • 万方数据

    Channel estimation in integrated radar and communication systems with power amplifier distortion

    LIU YanYI JianxinWAN XianrongRAO Yunhua...
    1098-1108页
    查看更多>>摘要：To reduce the negative impact of the power amplifier(PA)nonlinear distortion caused by the orthogonal frequency division multiplexing(OFDM)waveform with high peak-to-ave-rage power ratio(PAPR)in integrated radar and communication(RadCom)systems is studied,the channel estimation in passive sensing scenarios.Adaptive channel estimation methods are proposed based on different pilot patterns,considering nonli-near distortion and channel sparsity.The proposed methods achieve sparse channel results by manipulating the least squares(LS)frequency-domain channel estimation results to preserve the most significant taps.The decision-aided method is used to optimize the sparse channel results to reduce the effect of non-linear distortion.Numerical results show that the channel estima-tion performance of the proposed methods is better than that of the conventional methods under different pilot patterns.In addi-tion,the bit error rate performance in communication and pas-sive radar detection performance show that the proposed meth-ods have good comprehensive performance.
      原文链接:
    • 万方数据
    • 维普

    Multiple-model GLMB filter based on track-before-detect for tracking multiple maneuvering targets

    CAO ChenghuZHAO Yongbo
    1109-1121页
    查看更多>>摘要：A generalized labeled multi-Bernoulli(GLMB)filter with motion mode label based on the track-before-detect(TBD)strategy for maneuvering targets in sea clutter with heavy tail,in which the transitions of the mode of target motions are modeled by using jump Markovian system(JMS),is presented in this paper.The close-form solution is derived for sequential Monte Carlo implementation of the GLMB filter based on the TBD model.In update,we derive a tractable GLMB density,which preserves the cardinality distribution and first-order moment of the labeled multi-target distribution of interest as well as mini-mizes the Kullback-Leibler divergence(KLD),to enable the next recursive cycle.The relevant simulation results prove that the proposed multiple-model GLMB-TBD(MM-GLMB-TBD)algo-rithm based on K-distributed clutter model can improve the detecting and tracking performance in both estimation error and robustness compared with state-of-the-art algorithms for sea clutter background.Additionally,the simulations show that the proposed MM-GLMB-TBD algorithm can accurately output the multitarget trajectories with considerably less computational complexity compared with the adapted dynamic programming based TBD(DP-TBD)algorithm.Meanwhile,the simulation results also indicate that the proposed MM-GLMB-TBD filter slightly outperforms the JMS particle filter based TBD(JMS-MeMBer-TBD)filter in estimation error with the basically same computational cost.Finally,the impact of the mismatches on the clutter model and clutter parameter is investigated for the perfor-mance of the MM-GLMB-TBD filter.
      原文链接:
    • 万方数据
    • 维普

    Application of novel super-exponential iteration algorithm in underwater acoustic channel

    NING XiaolingFU BingZHANG LinsenQIU Jiahao...
    1122-1131页
    查看更多>>摘要：A novel variable step-size modified super-exponen-tial iteration(MSEI)decision feedback blind equalization(DFE)algorithm with second-order digital phase-locked loop is put for-ward to improve the convergence performance of super-expo-nential iteration DFE algorithm.Based on the MSEI-DFE algo-rithm,it is first proposed to develop an error function as an improvement to the error function of MSEI,which effectively achieves faster convergence speed of the algorithm.Subse-quently,a hyperbolic tangent function variable step-size algo-rithm is developed considering the high variation rate of the hyperbolic tangent function around zero,so as to further improve the convergence speed of the algorithm.In the end,a second-order digital phase-locked loop is introduced into the decision feedback equalizer to track and compensate for the phase rotation of equalizer input signals.For the multipath underwater acoustic channel with mixed phase and phase rota-tion,quadrature phase shift keying(QPSK)and 16 quadrature amplitude modulation(16QAM)modulated signals are used in the computer simulation of the algorithm in terms of conver-gence and carrier recovery performance.The results show that the proposed algorithm can considerably improve convergence speed and steady-state error,make effective compensation for phase rotation,and efficiently facilitate carrier recovery.
      原文链接:
    • 万方数据
    • 维普

    Beidou receiver based on anti-jamming antenna arrays with self-calibration for precise relative positioning

    AN YiKANG RongleiBAN YalongYANG Shaoshuai...
    1132-1147页
    查看更多>>摘要：Unmanned aerial vehicles(UAVs)may be subjected to unintentional radio frequency interference(RFI)or hostile jam-ming attack which will lead to fail to track global navigation satellite system(GNSS)signals.Therefore,the simultaneous realization of anti-jamming and high-precision carrier phase dif-ference positioning becomes a dilemmatic problem.In this paper,a distortionless phase digital beamforming(DBF)algo-rithm with self-calibration antenna arrays is proposed,which enables to obtain distortionless carrier phase while suppressing jamming.Additionally,architecture of high precision Beidou receiver based on anti-jamming antenna arrays is proposed.Finally,the performance of the algorithm is evaluated,including antenna calibration accuracy,carrier phase distortionless accu-racy,and carrier phase measurement accuracy without jamming.Meanwhile,the maximal jamming to signal ratio(JSR)and real time kinematic(RTK)positioning accuracy under wideband jam-ming are also investigated.The experimental results based on the real-life Beidou signals show that the proposed method has an excellent performance for precise relative positioning under jamming when compared with other anti-jamming methods.
      原文链接:
    • 万方数据
    • 维普

    Intelligent recognition and information extraction of radar complex jamming based on time-frequency features

    PENG RuihuiWU XingruiWANG GuohongSUN Dianxing...
    1148-1166页
    查看更多>>摘要：In modern war,radar countermeasure is becoming increasingly fierce,and the enemy jamming time and pattern are changing more randomly.It is challenging for the radar to effi-ciently identify jamming and obtain precise parameter informa-tion,particularly in low signal-to-noise ratio(SNR)situations.In this paper,an approach to intelligent recognition and complex jamming parameter estimate based on joint time-frequency dis-tribution features is proposed to address this challenging issue.Firstly,a joint algorithm based on YOLOv5 convolutional neural networks(CNNs)is proposed,which is used to achieve the jam-ming signal classification and preliminary parameter estimation.Furthermore,an accurate jamming key parameters estimation algorithm is constructed by comprehensively utilizing chi-square statistical test,feature region search,position regression,spec-trum interpolation,etc.,which realizes the accurate estimation of jamming carrier frequency,relative delay,Doppler frequency shift,and other parameters.Finally,the approach has improved performance for complex jamming recognition and parameter estimation under low SNR,and the recognition rate can reach 98%under-15 dB SNR,according to simulation and real data verification results.
      原文链接:
    • 万方数据
    • 维普

    Anti-swarm UAV radar system based on detection data fusion

    WANG PengfeiHU JinfengHU WenWANG Weiguang...
    1167-1176页
    查看更多>>摘要：There is a growing body of research on the swarm unmanned aerial vehicle(UAV)in recent years,which has the characteristics of small,low speed,and low height as radar tar-get.To confront the swarm UAV,the design of anti-UAV radar system based on multiple input multiple output(MIMO)is put forward,which can elevate the performance of resolution,angle accuracy,high data rate,and tracking flexibility for swarm UAV detection.Target resolution and detection are the core problem in detecting the swarm UAV.The distinct advantage of MIMO system in angular accuracy measurement is demonstrated by comparing MIMO radar with phased array radar.Since MIMO radar has better performance in resolution,swarm UAV detec-tion still has difficulty in target detection.This paper proposes a multi-mode data fusion algorithm based on deep neural net-works to improve the detection effect.Subsequently,signal pro-cessing and data processing based on the detection fusion algo-rithm above are designed,forming a high resolution detection loop.Several simulations are designed to illustrate the feasibility of the designed system and the proposed algorithm.
      原文链接:
    • 万方数据
    • 维普

    Cloud edge integrated security architecture of new cloud manufacturing system

    ZHAO LongboLI BohuYUAN Haitao
    1177-1189页
    查看更多>>摘要：With the rapid development of cloud manufacturing technology and the new generation of artificial intelligence tech-nology,the new cloud manufacturing system(NCMS)built on the connotation of cloud manufacturing 3.0 presents a new busi-ness model of"Internet of everything,intelligent leading,data driving,shared services,cross-border integration,and universal innovation".The network boundaries are becoming increasingly blurred,NCMS is facing security risks such as equipment unau-thorized use,account theft,static and extensive access control policies,unauthorized access,supply chain attacks,sensitive data leaks,and industrial control vulnerability attacks.Tradi-tional security architectures mainly use information security technology,which cannot meet the active security protection requirements of NCMS.In order to solve the above problems,this paper proposes an integrated cloud-edge-terminal security system architecture of NCMS.It adopts the zero trust concept and effectively integrates multiple security capabilities such as network,equipment,cloud computing environment,application,identity,and data.It adopts a new access control mode of"con-tinuous verification+dynamic authorization",classified access control mechanisms such as attribute-based access control,role-based access control,policy-based access control,and a new data security protection system based on blockchain,achieving"trustworthy subject identity,controllable access behavior,and effective protection of subject and object resources".This archi-tecture provides an active security protection method for NCMS in the digital transformation of large enterprises,and can effec-tively enhance network security protection capabilities and cope with increasingly severe network security situations.
      原文链接:
    • 万方数据
    • 维普