通知公告
访问统计

总访问量

今日访问

在线人数

阅读排行

    一年内发表的文章 |  两年内 |  三年内 |  全部
    Please wait a minute...
    选择: 显示/隐藏图片
    1. Graph convolutional network combined with random walks and graph attention network for node classification
    陈勇 谢小竹 翁伟
    中国邮电高校学报(英文)    2024, 31 (3): 1-14.   DOI: 10.19682/j.cnki.1005-8885.2024.1004
    摘要307)      PDF(pc) (1823KB)(41)    收藏
    Graph conjoint attention (CAT) network is one of the best graph convolutional networks (GCNs) frameworks,
    which uses a weighting mechanism to identify important neighbor nodes. However, this weighting mechanism is
    learned based on static information, which means it is susceptible to noisy nodes and edges, resulting in significant
    limitations. In this paper, a method is proposed to obtain context dynamically based on random walk, which allows
    the context-based weighting mechanism to better avoid noise interference. Furthermore, the proposed context-based
    weighting mechanism is combined with the node content-based weighting mechanism of the graph attention (GAT)
    network to form a model based on a mixed weighting mechanism. The model is named as the context-based and
    content-based graph convolutional network (CCGCN). CCGCN can better discover important neighbors, eliminate
    noise edges, and learn node embedding by message passing. Experiments show that CCGCN achieves state-of-the-
    art performance on node classification tasks in multiple datasets.
    参考文献 | 相关文章 | 多维度评价
    2. Black-box membership inference attacks based on shadow model
    Han Zhen, Zhou Wen'an, Han Xiaoxuan, Wu Jie
    中国邮电高校学报(英文)    2024, 31 (4): 1-16.   DOI: 10.19682/j.cnki.1005-8885.2024.1016
    摘要290)      PDF(pc) (3603KB)(140)    收藏
    Membership inference attacks on machine learning models have drawn significant attention. While current research primarily utilizes shadow modeling techniques, which require knowledge of the target model and training data, practical scenarios involve black-box access to the target model with no available information. Limited training data further complicate the implementation of these attacks. In this paper, we experimentally compare common data enhancement schemes and propose a data synthesis framework based on the variational autoencoder generative adversarial network (VAE-GAN) to extend the training data for shadow models. Meanwhile, this paper proposes a shadow model training algorithm based on adversarial training to improve the shadow model's ability to mimic the predicted behavior of the target model when the target model's information is unknown. By conducting attack experiments on different models under the black-box access setting, this paper verifies the effectiveness of the VAE-GAN-based data synthesis framework for improving the accuracy of membership inference attack. Furthermore, we verify that the shadow model, trained by using the adversarial training approach, effectively improves the degree of mimicking the predicted behavior of the target model. Compared with existing research methods, the method proposed in this paper achieves a 2% improvement in attack accuracy and delivers better attack performance.
    参考文献 | 相关文章 | 多维度评价
    3. Personalized trajectory data perturbation algorithm based on quadtree indexing
    刘琨 靳军辉 王辉 申自浩 刘沛骞
    中国邮电高校学报(英文)    2024, 31 (4): 17-27.   DOI: 10.19682/j.cnki.1005-8885.2024.1014
    摘要286)      PDF(pc) (1357KB)(46)    收藏
    To solve the privacy leakage problem of truck trajectories in intelligent logistics, this paper proposes a Quadtree-based Personalized Joint location Perturbation (QPJLP) algorithm using location generalization and local differential privacy techniques. Firstly, a flexible position encoding mechanism based on the spatial quadtree indexing is designed, and the length of the encoding can be adjusted freely according to data availability. Secondly, to meet the privacy needs of different locations of users, location categories are introduced to classify locations as sensitive and ordinary locations. Finally, the truck invokes the corresponding mechanism in the QPJLP algorithm to locally perturb the code according to the location category, allowing the protection of non-sensitive locations to be reduced without weakening the protection of sensitive locations, thereby improving data availability. Simulation experiments demonstrate that the proposed algorithm effectively meets the personalized trajectory privacy requirements while also exhibiting good performance in trajectory proportion estimation and Top-K classification.
    参考文献 | 相关文章 | 多维度评价
    4. Superjunction 4H-SiC trench-gate IGBT with an integrated clamping PN diode
    黄义 王学成 高升 刘斌 张红升 韩根全
    中国邮电高校学报(英文)    2024, 31 (2): 3-9.   DOI: 10.19682/j.cnki.1005-8885.2024.0001
    摘要280)      PDF(pc) (4079KB)(136)    收藏

    In this paper, a novel superjunction 4H-silicon carbide (4H-SiC) trench-gate insulated-gate bipolar transistor (IGBT) featuring an integrated clamping PN diode between the P-shield and emitter (TSD-IGBT) is designed and theoretically studied. The heavily doping superjunction layer contributes to a low specific on-resistance, excellent electric field distribution, and quasi-unipolar drift current. The anode of the clamping diode is in floating contact with the P-shield. In the on-state, the potential of the P-shield is raised to the turn-on voltage of the clamping diode, which prevents the hole extraction below the N-type carrier storage layer (NCSL). Additionally, during the turn-off transient, once the clamping diode is turned on, it also promotes an additional hole extraction path. Furthermore, the potential dropped at the semiconductor near the trench-gate oxide is effectively reduced in the off-state.

    参考文献 | 相关文章 | 多维度评价
    5.

    Performance study of vertical MSM solar-blind photodetectors based on β-Ga2O3 thin film

    陈海峰 车露洁 陆芹 王少青 刘祥泰 刘展航 关幼幼 赵旭 程航 韩晓聪 张旭辉
    中国邮电高校学报(英文)    2024, 31 (2): 17-27.   DOI: 10.19682/j.cnki.1005-8885.2024.0006
    摘要280)      PDF(pc) (4363KB)(123)    收藏



    In this work, β-Ga2O3 thin films were grown on SiO2 substrate by atomic layer deposition (ALD) and annealed in N2 atmosphere to enhance the crystallization quality of the thin films, which were verified from X-rays diffraction (XRD). Based on the grown β-Ga2O3 thin films, vertical metal-semiconductor-metal (MSM) interdigital photodetectors (PDs) were fabricated and investigated. The PDs have an ultralow dark current of 1.92 pA, ultra-high photo-to-dark current ratio (PDCR) of 1.7×106, and ultra-high detectivity of 4.25×1014 Jones at a bias voltage of 10 V under 254 nm deep ultraviolet (DUV). Compared with the horizontal MSM PDs under the same process, the PDCR and detectivity of the fabricated vertical PDs are increased by 1 000 times and 100 times, respectively. In addition, the vertical PDs possess a high responsivity of 34.24 A/W and an external quantμm efficiency of 1.67×104%, and also exhibit robustness and repeatability, which indicate excellent performance. Then the effects of electrode size and external irradiation conditions on the performance of the vertical PDs continued to be investigated.



    参考文献 | 相关文章 | 多维度评价
    6. Artificial rabbit optimization algorithm based on chaotic mapping and Levy flight improvement
    吴进 苏正东 高亚琼 冯浩然
    中国邮电高校学报(英文)    2024, 31 (4): 54-69.   DOI: 10.19682/j.cnki.1005-8885.2024.1010
    摘要270)      PDF(pc) (2941KB)(31)    收藏
    An artificial rabbit optimization algorithm based on chaotic mapping and Levy flight improvement is proposed, which has the advantages of good initial population quality and fast convergence compared with the traditional artificial rabbit optimization algorithm, called CLARO. CLARO’s improvement method starts from three aspects: to optimize the quality of the initial population of the algorithm a chaotic mapping is brought in to initialize the population; to avoid the algorithm from falling into local optimum Levy flight is added in the exploration phase and the threshold of energy factor A is optimized to better balance exploration and exploitation. The efficiency of CLARO is tested on a set of 23 benchmark function sets by comparing it with ARO and different meta-heuristics algorithms. At last, the comparison experiments conclude that all three improvement strategies enhance the performance of ARO to some extent, with Levy flight providing the most significant improvement in ARO performance. The experimental results showed that CLARO has better results and faster convergence compared to other algorithms, while successfully addressing the drawbacks of ARO and being able to face more challenging problems.
    参考文献 | 相关文章 | 多维度评价
    7. Trench gate GaN IGBT with controlled hole injection efficiency
    黄义 李玥玥 高升 王琦 Liu Bin 韩根全
    中国邮电高校学报(英文)    2024, 31 (2): 10-16.   DOI: 10.19682/j.cnki.1005-8885.2024.0012
    摘要265)      PDF(pc) (2095KB)(102)    收藏

    In this paper, a novel trench gate gallium nitride insulated gate bipolar transistor (GaN IGBT), in which the collector is divided into multiple regions to control the hole injection efficiency, is designed and theoretically studied. The incorporation of a P+/P- multi-region alternating structure in the collector region mitigates hole injection within the collector region. When the device is in forward conduction, the conductivity modulation effect results in a reduced storage of carriers in the drift region. As a result, the number of carriers requiring extraction during device turn-off is minimized, leading to faster turn-off speed. The results illustrate that the GaN IGBT with controlled hole injection efficiency (CEH GaN IGBT) exhibits markedly enhanced performance compared to conventional GaN IGBT, showing a remarkable 42.2% reduction in turn-off time and a notable 28.5% decrease in turn-off loss.

    参考文献 | 相关文章 | 多维度评价
    8. Power and Rate Adaption in Wireless Communication Systems with Energy Harvesting–Based on Soft Decision Decoding
    雷维嘉 于顺洪 刘美玎
    中国邮电高校学报(英文)    2024, 31 (4): 70-82.   DOI: 10.19682/j.cnki.1005-8885.2024.1017
    摘要247)      PDF(pc) (2041KB)(37)    收藏
    In this paper, the online power control and rate adaptation for a wireless communication system with energy harvesting are investigated, in which soft decision decoding is adopted by the receiver. To efficiently utilize the harvested energy and maximize the average actual information transmission rate, transmit power, modulation order and code rate are jointly optimized. The Lyapunov framework is utilized to transform the long-term optimization problem into an optimization problem per time slot. Since there is no theoretical formula for the error rate of soft decision decoding, the optimization problem cannot be analytically solved. A table to find the optimal modulation order and code rate under the different values of signal-to-noise ratio is built first, and then a numeric algorithm to find the solution to the optimization problem is given. The feasibility and performance of the proposed algorithm are demonstrated by simulation. The simulation results show that compared with the algorithms to maximize the theoretic channel capacity, the proposed algorithm can achieve a higher actual transmission rate.
    参考文献 | 相关文章 | 多维度评价
    9. Improving Link Prediction Models through a Performance Enhancement Scheme: A Study on Semi-Supervised Learning and Model Soup
    亓东林 陈曙东 杜蓉 佟达 余泳
    中国邮电高校学报(英文)    2024, 31 (4): 43-53.   DOI: 10.19682/j.cnki.1005-8885.2024.1015
    摘要245)      PDF(pc) (2574KB)(40)    收藏
    目前,大多数构建的知识图谱无论其规模如何,大多有不完备性问题。这种不完备性会对基于知识图谱的应用产生负面影响。作为知识图谱补充的重要方法,链接预测近年来已成为热门研究课题。本文提出了一种基于半监督学习和模型汤思想的链接预测模型性能增强方案,通过对模型架构进行微小改变,有效提高了几种主流链接预测模型的性能。这一创新方案主要包括两个部分:(1)使用半监督学习策略预测图中的潜在事实三元组,(2)创造性地结合半监督学习和模型汤,进一步提高最终模型的性能,而不增加显著的计算开销。我们通过实验证实了该方案在各种链接预测模型上的有效性,特别是在具有密集关系的数据集上。对于测试的模型中整体性能最佳的模型CompGCN,在经过增强方案后,在FB15K-237数据集上的Hits@1指标提高了14.7%,在WN18RR数据集上提高了7.8%。同时,我们观察到增强方案中的半监督学习策略对于多类链接预测模型有显著改进,并且模型汤的引入带来的性能改进与具体的测试模型有关,某些模型的性能得到了改善,而其他模型的性能基本保持不变。
    参考文献 | 相关文章 | 多维度评价
    10. Dynamic coverage of mobile multi-target in sensor networks based on virtual force
    黄庆东 王梅 韩壮 陈晨
    中国邮电高校学报(英文)    2024, 31 (4): 83-94.   DOI: 10.19682/j.cnki.1005-8885.2024.1006
    摘要223)      PDF(pc) (3233KB)(26)    收藏
    A new procedure of distributed self-control coverage for monitoring the dynamic targets with mobile sensor network is proposed. A special model is given for maintaining the nodes bi-connectivity and optimizing the coverage of the moving targets. The model consists of two parts, the virtual force model is proposed for motion control and the whale optimization algorithm is improved to further optimize the node positions and to reach the steady state quickly. The virtual resultant force stretches the network toward the uncovered targets by its multi-target attractive force, and maintains the network connectivity by its attractive force while network stretching, and avoids node collisions by its repulsive force while nodes moving. The operating mechanism of multi-target attractive force and other forces is also profoundly anatomized. The adjustment criteria for the model in different application scenarios are also given. Finally, the comparisons are shown to be significant advantages over other similar kinds.
    参考文献 | 相关文章 | 多维度评价
    11. Deep kernel extreme learning machine classifier based on the improved sparrow search algorithm
    赵广元 雷渝
    中国邮电高校学报(英文)    2024, 31 (3): 15-29.   DOI: 10.19682/j.cnki.1005-8885.2024.1003
    摘要222)      PDF(pc) (3906KB)(34)    收藏
    In the classification problem, deep kernel extreme learning machine (DKELM) has the characteristics of efficient
    processing and superior performance, but its parameters optimization is difficult. To improve the classification
    accuracy of DKELM, a DKELM algorithm optimized by the improved sparrow search algorithm (ISSA), named as
    ISSA-DKELM, is proposed in this paper. Aiming at the parameter selection problem of DKELM, the DKELM
    classifier is constructed by using the optimal parameters obtained by ISSA optimization. In order to make up for the
    shortcomings of the basic sparrow search algorithm (SSA), the chaotic transformation is first applied to initialize the
    sparrow position. Then, the position of the discoverer sparrow population is dynamically adjusted. A learning
    operator in the teaching-learning-based algorithm is fused to improve the position update operation of the joiners.
    Finally, the Gaussian mutation strategy is added in the later iteration of the algorithm to make the sparrow jump out
    of local optimum. The experimental results show that the proposed DKELM classifier is feasible and effective, and
    compared with other classification algorithms,the proposed DKELM algorithm aciheves better test accuracy.
    参考文献 | 相关文章 | 多维度评价
    12.

    All-dielectric terahertz metasurface governed by bound states in the continuum with high-Q factor

    李琨 赵栩 王猛 贾兴宁 赵睿琪 逯贵祯
    中国邮电高校学报(英文)    2024, 31 (2): 44-54.   DOI: 10.19682/j.cnki.1005-8885.2024.0003
    摘要221)      PDF(pc) (3460KB)(55)    收藏

    The method of terahertz (THz) resonance with a high-quality (high-Q) factor offers a vital physical mechanism for metasurface sensors and other high-Q factor applications. However, it is challenging to excite the resonance with a high-Q factor in metasurfaces with proper sensitivity as well as figure of merit (FOM) values. Here,  an all-dielectric metasurface composed of two asymmetrical rectangular blocks is suggested. Quartz and silicon are the materials applied for the substrate and cuboids respectively. The distinct resonance governed by bound states in the continuum (BIC) is excited by forming an asymmetric cluster by a novel hybrid method of cutting and moving the cuboids. The investigation focuses on analyzing the transmission spectra of the metasurface under different variations in structural parameters and the loss of silicon refractive index. When the proposed defective metasurface serves as a transmittance sensor, it shows a Q factor of 1.08×104 and achieves a FOM up to 4.8×106, which is obtained under the asymmetric parameter equalling 1 μm. Simultaneously, the proposed defective metasurface is sensitive to small changes in refractive index. When the thickness of the analyte is 180 μm, the sensitivity reaches a maximum value of 578 GHz / RIU. Hence, the proposed defective metasurface exhibits an extensive number of possible applications in the filters, biomedical diagnosis, security screening, and so on.

    参考文献 | 相关文章 | 多维度评价
    13. Design of digital calibration based on variable step size of sub-binary SAR ADC
    刘伟 赵延可 商世广
    中国邮电高校学报(英文)    2024, 31 (2): 62-71.   DOI: 10.19682/j.cnki.1005-8885.2024.00010
    摘要220)      PDF(pc) (5060KB)(63)    收藏
    Addressing the impact of capacitor mismatch on the conversion accuracy of successive approximation register analog-to-digital converter (SAR ADC), a 12-bit 1 MS/s sub-binary SAR ADC designed using variable step size digital calibration was proposed. The least mean square (LMS) calibration algorithm was employed with a ramp signal used as the calibration input signal. Weight errors, extracted under injected disturbances, underwent iterative training to optimize weight values. To address the trade-off between conversion accuracy and speed caused by a fixed step size,  a novel variable step size algorithm tailored for SAR ADC calibration was propased. The core circuit and layout of the SAR ADC were implemented using the Taiwan Semiconductor manufacturing Company (TSMC) 0.35 μm complementary metal-oxide-semiconductor (CMOS) commercial process. Simulation of the SAR ADC calibration algorithm was conducted using Simulink, demonstrating quick convergence and meeting conversion accuracy requirements compared to fixed step size simulation. The results indicated that the convergence speed of the LMS digital calibration algorithm with variable step size was approximately eight times faster than that with a fixed step size, also yielding a lower mean square error (MSE). After calibration, the simulation results for the SAR ADC exhibited an effective number of bit (ENOB) of 11.79 bit and a signal-to-noise and distortion ratio (SNDR) of 72.72 dB, signifying a notable enhancement in the SAR ADC performance.
    参考文献 | 相关文章 | 多维度评价
    14. Design and implementation of a multi-tile parallel scanning rasterization accelerator
    邢立冬 郭强 彭欣龙 冯臻夫
    中国邮电高校学报(英文)    2024, 31 (2): 94-104.   DOI: 10.19682/j.cnki.1005-8885.2024.0009
    摘要212)      PDF(pc) (6311KB)(58)    收藏
    In the design of a graphic processing unit (GPU), the processing speed of triangle rasterization is an important factor that determines the performance of the GPU. An architecture of a multi-tile parallel-scan rasterization accelerator was proposed in this paper. The accelerator uses a bounding box algorithm to improve scanning efficiency. It rasterizes multiple tiles in parallel and scans multiple lines at the same time within each tile. This highly parallel approach drastically improves the performance of rasterization. Using 65nm process standard cell library of Semiconductor Manufacturing International Corporation (SMIC), the accelerator can be synthesized to a maximum clock frequency of 220MHz. An implementation on the Genesys2 field programmable gate array (FPGA) board fully verifies the functionality of the accelerator. The implementation shows a significant improvement in rendering speed and efficiency and proves its suitability for high- performance rasterization.
    参考文献 | 相关文章 | 多维度评价
    15.

     Preparation and characteristic study of Schottky diodes based on Ga2O3 thin films

    张旭辉 陈海峰 刘祥泰 陆芹 王湛 程航 车露洁 关幼幼 韩晓聪
    中国邮电高校学报(英文)    2024, 31 (2): 28-37.   DOI: 10.19682/j.cnki.1005-8885.2024.0007
    摘要205)      PDF(pc) (3625KB)(79)    收藏
    This study uses atomic layer deposition (ALD) to grow Ga 2O 3 films on SiO 2 substrates and investigates the influence of film thickness and annealing temperature on film quality. Schottky diode devices are fabricated based on the grown Ga 2O 3 films, and the effects of annealing temperature, electrode size, and electrode spacing on the electrical characteristics of the devices are studied. The results show that as the film thickness increases, the breakdown voltage of the fabricated devices also increases. A Schottky diode with a thickness of 240 nm can achieve a reverse breakdown voltage of 300 V. The film quality significantly improves as the annealing temperature of the film increases. At a voltage of 5 V, the current of the film annealed at 900°C is 64 times that of the film annealed at 700°C. The optimum annealing temperature for Ohmic contact electrodes is 450°C. At 550°C, the Ohmic contact metal tends to burn, and the performance of the device is reduced. Reducing the electrode spacing increases the forward current of the device but decreases the reverse breakdown voltage. Increasing the Schottky contact electrode size increases the forward current, but the change is not significant, and there is no significant change in the reverse breakdown voltage. The device also performs well at high temperatures, with a reverse breakdown voltage of 220 V at 125°C.
    参考文献 | 相关文章 | 多维度评价
    16.

    Energy-efficient reconfigurable processor for QC-LDPC via adaptive coding-voltage-frequency tuning

    常立博 胡怡青 杜慧敏 王继禾
    中国邮电高校学报(英文)    2024, 31 (2): 72-84.   DOI: 10.19682/j.cnki.1005-8885.2024.0005
    摘要198)      PDF(pc) (3255KB)(65)    收藏
    To apply a quasi-cyclic low density parity check (QC-LDPC) to different scenarios, a data-driven pipelined macro-instruction set and a reconfigurable processor architecture are proposed for the typical QC-LDPC algorithm. The data-level parallelism is improved by instructions to dynamically configuring the multi-core computing units. Simultaneously, an intelligent adjustment strategy based on programmable wake-up controller (WuC) is designed so that the computing mode, operating voltage, and frequency of the QC-LDPC algorithm can be adjusted. This adjustment can improve the computing efficiency of the processor. The QC-LDPC decoders are verified on the Xilinx ZCU102 Field Programmable Gate Array (FPGA) board and the computing efficiency is measured. The experimental results indicate that the QC-LDPC processor can support two encoding lengths of three typical QC-LDPC algorithms and 20 adaptive operating modes of operating voltage and frequency. The maximum efficiency can reach up to 12.18 Mbit(s·mW) -1 , which is more flexible than existing state-of-the-art processor for QC-LDPC.
    参考文献 | 相关文章 | 多维度评价
    17.

    50-110 GHz, high isolation, and high-power linearity single-pole double-throw switch utilizing 100-nm GaN HEMT technology

    韩群飞 胡三明 张天羽 陈庆 沈一竹 王维波 陶洪琪
    中国邮电高校学报(英文)    2024, 31 (2): 38-43.   DOI: 10.19682/j.cnki.1005-8885.2024.0011
    摘要192)      PDF(pc) (2721KB)(68)    收藏

    This article presents the design and performance of a single-pole double-throw (SPDT) switch operating in 50–110 GHz. The switch is fabricated in a 100-nm GaN high-electron-mobility transistors(HEMT) technology. To realize high-power capability, the dimensions of GaN HEMTs are selected by simulation verification. To enhance the isolation, an improved structure of shunt HEMT with two ground holes is employed. To extend the operation bandwidth, the SPDT switch with multi section resonant units is proposed and analyzed. To verify the SPDT switch design, a prototype operating in 50–110 GHz is fabricated. The measured results show that the fabricated SPDT switch monolithic microwave integrated circuit (MMIC) achieves an input 1 dB compression point (P1dB) of 38 dBm at 94 GHz, and an isolation within the range of 33 dB to 54 dB in 50–110 GHz. The insertion loss of the switch is less than 2.1 dB, while the voltage standing wave ratios (VSWR) of the input port and output port are both less than 1.8 in the operation bandwidth. Based on the measured results, the presented SPDT switch MMIC demonstrates high power capability and high isolation compared with other reported millimeter-wave SPDT MMIC designs.

    参考文献 | 相关文章 | 多维度评价
    18.

    Convolutional neural network adaptation and optimization method in SIMT computing mode

    冯臻夫 张亚英 杨乐乐 邢立冬
    中国邮电高校学报(英文)    2024, 31 (2): 105-112.   DOI: 10.19682/j.cnki.1005-8885.2024.0008
    摘要188)      PDF(pc) (3090KB)(59)    收藏
    For studying and optimizing the performance of general-purpose computing on graphics processing units(GPGPU) based on single instruction multiple threads(SIMT) processor about the neural network application, this work contributes a self-developed SIMT processor named Pomelo and correlated assembly program. The parallel mechanism of SIMT computing mode and self-developed Pomelo processor is briefly introduced. A common convolutional neural network(CNN) is built to verify the compatibility and functionality of the Pomelo processor. CNN computing flow with task level and hardware level optimization is adopted on the Pomelo processor. A specific algorithm for organizing a Z-shaped memory structure is developed, which addresses reducing memory access in mass data computing tasks. Performing the above-combined adaptation and optimization strategy, the experimental result illustrates that reducing memory access in SIMT computing mode plays a crucial role in improving performance. A 6.52 times performance is achieved on 4 processing elements case.
    参考文献 | 相关文章 | 多维度评价
    19. CNN demodulation model with cascade parallel crossing for CPM signals
    杨嘉晨 段瑞枫 李诚驹
    中国邮电高校学报(英文)    2024, 31 (3): 30-42.   DOI: 10.19682/j.cnki.1005-8885.2024.1005
    摘要187)      PDF(pc) (2056KB)(43)    收藏
    The continuous phase modulation (CPM) technique is widely used in range telemetry due to its high spectral
    efficiency and power efficiency. However, the demodulation performance of the traditional maximum likelihood
    sequence detection (MLSD) algorithm significantly deteriorates in non-ideal synchronization or fading channels. To
    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 demodulation. The CPCNet model employs a multiple
    parallel structure and feature fusion to extract richer features from CPM signals. This approach constructs feature
    maps at different levels, resulting in a more comprehensive training of the model and improved demodulation
    performance. Simulation 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.
    参考文献 | 相关文章 | 多维度评价
    20.

    Predicting stability of integrated circuit test equipment using upper side boundary values of normal distribution

    詹文法 胡心怡 郑江云 余储贤 蔡雪原 张礼华
    中国邮电高校学报(英文)    2024, 31 (2): 85-93.   DOI: 10.19682/j.cnki.1005-8885.2024.0002
    摘要184)      PDF(pc) (473KB)(61)    收藏
    In response to the growing complexity and performance of Integrated Circuit (IC), there is an urgent need to enhance the testing and stability of IC test equipment. A method was proposed to predict equipment stability using the upper side boundary value of normal distribution. Initially, the K-means clustering algorithm classifies and analyzes sample data. The accuracy of this boundary value is compared under two common confidence levels to select the optimal threshold. A range is then defined to categorize unqualified test data. Through experimental verification, the method achieves the purpose of measuring the stability of qualitative IC equipment through a deterministic threshold value and judging the stability of the equipment by comparing the number of unqualified data with the threshold value, which realizes the goal of long-term operation monitoring and stability analysis of IC test equipment.
    参考文献 | 相关文章 | 多维度评价