Abstract：Emergency communication support requires rapid deployment, quick on-line and simplified configuration process, but the network architecture based on 3GPP standard is too large and complex to meet. Lightweight 5GC aims at referring to the standard architecture, carrying virtualization technology based on the common hardware platform, realizing the decoupling of hardware and software, controlling and forwarding the cloud core network, and reducing the business process and improving the business processing capacity through the integration and tailoring of network element functions, becoming a new solution for the emergency communication industry.Based on the application scenario of emergency communication private network, this paper analyzes the implementation architecture and key technologies of lightweight 5G core network, and explores the deployment scheme based on typical cases of emergency support.

Abstract：Country attaches great importance to the planning and construction of emergency communication network, especially with more attention paid to the UAV(Unmanned Aerial Vehicle) emergency communication technology research. Relative to the 4G network characteristics of the "Try best", 5G with large bandwidth, low latency and high reliability of network capacity,provides a flexible configuration space for performance of a network configuration, and will gradually become the preferred technology meet the demand of emergency communication different scenarios. UAV is proposed in this paper, based on fixed wing type 5G of emergency communication coverage solution. The solution achieves network through the integration of UAV airborne 5G base stations, combined with ground acer station auxiliary. UAV base station downlink coverage and back link budget are simulated，the results show that the proposed solution can meet the demand of remote areas and emergency communication coverage.

Abstract：In order to adapt to the needs of rapid deployment and convenient configuration in 5G emergency communication scene, the terminal, base station, user plane function(UPF), mobile edge computing(MEC), core control and other network devices must be simple, efficient and flexible. In order to quickly build emergency communication private network application scenario, this paper puts forward a scheme of integrated edge fusion technology and equipment implementation，which provides a highly integrated wireless access，data forwarding and edge application service ability for 5G field emergency communication，at the same time, also simplifies the complexity of equipment operations and external network requirements, and improves the service performance of the whole system.

Abstract：As an important supplement to the daily communication system, the emergency support communication system plays a vital role in the event of a disaster. Aiming at the requirements of the emergency support system in the event of a disaster, this paper proposes a technical solution based on 5G network slicing. Based on the flexible network customization capabilities of 5G, the performance requirements of various scenarios of the emergency support communication system on the network are analyzed. Based on the typical emergency support communication system architecture, the implementation process of the 5G network slicing of the emergency support system is discussed to realize the priority guarantee of 5G network resources for emergency services, ensure the real-time interaction and sharing of information, and improve the scientificity and timeliness of information decision-making.

Abstract：With the increasing demand for power distribution and control in new energy generation, hybrid vehicles, and industrial equipment, the operational reliability of IGBTs needs to be addressed. This paper combs the main failure mechanism of IGBT module, and based on this theory, summarizes the research on active thermal control of IGBT module at home and abroad. Finally, the future of active thermal control is expected to be combined with the actual situation.

Abstract：A convolutional neural network(CNN) inference system is designed based on the FPGA platform for the problem that the convolutional neural network infers at low speed and it is power consuming on the general CPU and GPU platforms. By computing resource reusing, parallel processing of data and pipeline design, it greatly improved the computing speed, and reduced the use of computing and storage resources by model compression and sparse matrix multipliers using the sparseness of the fully connected layer. The system uses the ORL face database. The experimental results show that the model inference performance is 10.24 times of the CPU, 3.08 times of the GPU and 1.56 times of the benchmark version at the working frequency of 100 MHz, and the power is less than 2 W. When the model is compressed by 4 times, the system identification accuracy is 95%.

Abstract：The traditional method for feature extraction contains limited discriminant features, and the deep learning method need lots of labeled data and it′s time-consuming. This paper presents a method which fuses the deep and shallow features for face recognition. Firstly, the HOG feature is extracted from each images and the dimensionality reduction is followed; and the PCANet feature is extracted simultaneously and its′ dimension is reduced. Secondly, the fusion of the two types of features is conducted and discriminant features are extracted further. Finally, the SVM is adopted for classification. Experiments on the AR database verify the effectiveness and robustness of the proposed method.

Abstract：In this paper we introduce an electronic seal base on 13.56 MHz RFID technology. The seal includes national commercial encryption algorithm SM7 to ensure the reliability and security. The radio frequency identification also allows the seal to be easily managed. In this paper we also introduce architecture of this kind of seal which include the antenna structure, function module, state machine working flow, 3 pass authentication and so on. Finally we realize a chip on HJEE110nm standard CMOS technology, the chip core only occupies 0.5 mm2 and the power consumptions are less than 100 μA. The chip packaged in ID1 completely matches the standard of ISO14443 and ISO10373-6, and chip packaged in seals in three specifications works perfect with the encrypt reader.

Abstract：The implementation of high-performance Viterbi decoding algorithm in resource-constrained processors is a hot topic in recent years. This paper is based on the XC6SLX16-2CSG324 type FPGA processor. In the case of limited resources, in order to balance the problem of Viterbi decoding delay and resource consumption, an improved algorithm is proposed. On the basis of the traditional Viterbi decoding algorithm, the purpose of controlling the path metric value is achieved by maximizing the pre-defined storage path metric value register, and then the stepped survivor path information storage structure is used to complete the storage of the surviving path information and simplifying the decoder hardware implements complexity, reducing decoding delay and resource consumption. Based on the ISE Design Suite 14.7 platform, FPGA-based verification of(2，1，4)-dimensional bit decoders with 20- and 3-bit soft-decision depths is performed, and combined with MATLAB simulation. The results show that the method can effectively reduce the decoding delay and reduce the resource consumption.

Abstract：Based on the analysis of the influence of wide-band local oscillator with different phase noise on the received noise figure of the wideband receiver, a wideband mixer is used to actually test to obtain the phase noise of the mixer IF signal, through the comparison of the frequency conversion noise figure of the IF signal with different phase noise of wideband local oscillator, the phase noise of the mixer IF signal is mainly determined by the phase noise of the local oscillator. The deterioration of the variable-frequency noise coefficient is mainly caused by the deterioration of the far-end noise outside the broadband local oscillator of 500 kHz. At the same time, combined with the gain calculation of the front-end gain and the variable-frequency noise of the wideband receiver, the broadband receiver with higher sensitivity is more sensitive to the deterioration of the phase noise. For high-sensitivity wideband receivers, in order to avoid noise figure degradation caused by wideband local oscillator phase noise, the gain of the receive front end before mixing needs to be greater than 25 dB.

Abstract：Based on the dynamic load-line GaN HEMT large signal model and load-pull technology, a high efficiency harmonic tuned power amplifier operating at 2 GHz is designed and implemented. Under the condition that the parasitic parameters and package parameters of the transistor are unknown, the optimal fundamental and harmonic impedance values that meet the performance requirements are initially determined by the load-pull technology, and tuning and optimizing the overall circuit of the power amplifier based on the drain current and voltage waveforms obtained from the dynamic load-line large signal model. The measured results show that, when the input power is 27 dBm, the drain efficiency reaches 81.53%, the power added efficiency is 76%, the output power is 38.69 dBm, and the gain is 11.69 dB. The high-efficiency harmonic tuned power designed by this method has the advantages of simple structure and convenient tuning, while satisfying high performance.

Abstract：In the development of acoustic camera, aiming at the need of high-precision acquisition of acoustic field signals and real-time transmission of multi-sensor information, a modularized data acquisition system is designed, which integrates PGA, Σ-Δ ADC, FPGA as well as Gigabit Ethernet communication, and the condition of channel extension is given. According to the performance test, it shows that the sampling error of this module is 0.000 2%, the self-noise is 9 μV, and it has the advantages of 110 dB dynamic range under the bandwidth of 55 kHz, not only its performance better than the most often used multi-channel data acquisition device of vibration acoustics, but also has the characteristics of good extendibility and lower development cost.

Abstract：Sound source localization technology is the basis of speech recognition technology. For the problem that the sound source localization accuracy is not ideal for complex noise and reverberant indoor environment, a sound source localization system based on microphone array is proposed. Firstly, the principle of sound source localization is expounded, and then an improved generalized cross-correlation algorithm is proposed. The algorithm uses the correlation between the two signals to estimate the delay between the microphones, and then obtains the sound path difference, and determines the position of the sound source in space according to the geometric relationship. Finally, the experiment is carried out on the embedded platform. The experimental results show that the method can obtain the sound source position more accurately, and the distance and azimuth errors are not exceeded positive and negative 5 degrees and plus or minus 15 cm.

Abstract：With regard to easy dropping and performance degradation caused by hanging and pasting radio frequency identification (RFID) tag antennas in the process of tracing information of the smart meter, a tag antenna based on printed circuit board(PCB) integrated RFID in smart meter was proposed. The tag antenna is directly etched on the PCB of the smart meter instead of traditional attachment method. In order to improve RFID tag antenna performance，the smart electric meter was used as research object, the reason of frequency offset and impedance match variation was analyzed, the tag antenna optimization was determined according to the theory and the feasibility of the scheme was verified by experiments; at the same time, the tag antenna performance was enhanced by existing design experience. The results of design and optimization show that S11 of the optimized tag antenna working in the smart electric meter is less than -15 dB in the working band of 860 MHz~960 MHz and impedance matching is excellent; the tag antenna operates in 920 MHz with port impedance of 16.87+j207.78 Ω and the gain of 2.71 dB，which meets the gain and the directional requirements in the process of tracing information.

Abstract：A small-world network model with preferential attachment is constructed, based on which the effects of various factors such as the characteristic path length, degree distribution, clustering coefficient and betweenness on the synchronizability of complex networks are investigated. It is found that networks with equal characteristic path length and clustering coefficient can still have very different synchronizability. Simulation results show that neither the characteristic path length nor the clustering coefficient of complex networks can solely determines the synchronizability of complex networks, the heterogeneity of the degree distribution essentially suppresses the synchronizability of complex networks, and the maximal betweenness is a reasonable indicator for synchronizability.

Abstract：Image recognition technology with faster training speed and higher recognition accuracy has always been the focus and frontier of intelligent technology research. Sorting image fast recognition is of great significance to improve logistics efficiency in unmanned warehouse and other occasions. The simulation of sorting image fast recognition based on deep learning is studied. A convolution neural network is designed. For the specific environment of logistics warehouse and the specified objects to be identified, the sorting image is not very clear because of the closed environment and illumination conditions of warehouse. Firstly, the dual tree complex wavelet transform is used to denoise the sorting image. Then, on the basis of AlexNet neural network, the convolution layer of convolution neural network is dealt with. ReLU layer and pooling layer parameters are redefined to speed up the learning speed of the neural network. Then, according to the new image classification task, the last three layers of the neural network are defined, which are full connection layer, Softmax layer and classification output layer, to adapt to the new image recognition. The proposed fast sorting image recognition technology based on depth learning has higher training speed and recognition accuracy in the face of more complex sorting image recognition.

Abstract：Aiming at the problems of large amount of computation and high complexity of multiplication of Galois Field(GF) in the common RS coding algorithm, the RS coding module is optimized and the multiplier factor is obtained. The module completes the calculation of the RS code multiplier factor, reduces the complexity of the Galois field multiplication operation in the FPGA implementation process, and reduces the amount of computation. The test results show that the optimized RS-coded FPGA is simple and effective, and the coding is accurate. The coding result is consistent with the theoretical results obtained by MATLAB. It can be applied to RS coding of arbitrary code length, and complex multi-factor communication in mobile communication and space communication.

Abstract：Aiming at the nonlinear problem between the actual physical values and the converted digital values in AD conversion process, a software online correction method is proposed. This method is based on the least square algorithm to optimize the piecewise linear fitting method. Using VS2010 C# to program, the user can set the error standard, and realize the optimal piecewise linear fitting of the whole nonlinear interval through program calculation, and obtain different fitting functions to achieve the requirement of high precision fitting. This calibration software can be used as an auxiliary development tool in analog acquisition systems to help achieve physical quantity regression. The test results show that the method can significantly improve the accuracy of AD conversion, and is easy to operate with high accuracy.

Abstract：The underwater acoustic monitoring acquires a wide range of frequency bands, including multi-band feature information in the recording process, and doped with various kinds of noise. In order to extract the effective feature information of each frequency band of the monitored signal reliably, avoid the influence of noise, solve the drawbacks of energy method in judging the characteristic frequency band, and break the limitation of single method in extracting multi-band feature information of broadband signal，in this paper, using the advantages of wavelet packet, correlation coefficient and Hilbert-Huang，multi-band feature information of broadband signals is extraded. Firstly, the fine frequency division of broadband signal is realized by wavelet packet algorithm, and the validity of node signal is judged and the noise nodes are eliminated by correlation coefficient analysis. Secondly, the effective components and noise in the effective node band are further separated by Hilbert-Huang. Finally, the effective band characteristics are obtained by reconstructing the node coefficients after processing.The results of simulation and experimental signal processing show that this method has certain advantages in extracting characteristic frequency information of broadband underwater acoustic monitoring signals, and can be popularized and applied in underwater acoustic target recognition and monitoring.

Abstract：In this paper, according to the requirement of safety design of IoT(Internet of Things) operating system, combined with the research and engineering practice of classical linear temporal logic, logic programming and theory of formal model detection, a methodology for safety design of IoT operating system is proposed, and the engineering prototype is validated. Practice has proved that the effect of this method is in line with expectations. It is not only suitable for the safety design of IoT operating system, but also can be further extended to other areas of software product design with high safety requirements.

Abstract：In order to solve the problem of signal overlapping when communicating in ADS-B system, combined with the working characteristics of FPGA and the requirements of real-time system, the ADS-B overlapping detection algorithm and separating overlapped algorithm are optimized. Aiming at the problem that the overlapping detection algorithm needs to change the parameters to match the judgment threshold when verifying it with actual data, a method for calculating the dynamic threshold value of overlapping detection is designed, at the same time, the complex process such as eigenvector and generalized inverse matrix in the separating overlapped algorithm is optimized to invert the covariance matrix. The implementation results show that the optimized algorithm is suitable for real-time systems and can effectively separate ADS-B overlapped signals.

Abstract：In the construction industry, the cement floor is often polished by manual and mechanical methods. The working environment is harsh and the working efficiency is low. The automatic polishing robot can replace manual operation and improve the working efficiency. In this paper, the basic motion of the cement floor polishing robot is studied, and the motion control scheme of the robot is proposed. Firstly, the kinematics model of the robot and the speed control algorithm to realize the basic motion were designed. Then, the design of the motion control system of the cement ground grinding robot was designed with STM32 single chip microcomputer as the control core, and the basic motion control in the complex trajectory of the robot was realized. Experimental results show that the maximum positioning error of the robot is 3.1 cm when it moves in a straight line and turns. The reliability and stability of the system for the basic motion control of the robot are verified, which provides a reference for the control of similar robots.

Abstract：Aiming at the shortcomings of the traditional contact power supply mode, a low-power magnetic coupling resonant wireless power supply system was designed to study the transmission characteristics of the system. The circuit coupling theory is mainly used to establish the equivalent circuit model of the system. The influence of system parameters on the transmission characteristics, including the resonant frequency, load resistance and coupling coefficient, is simulated by MATLAB. Finally, a low-power wireless power supply system test platform is built. The transmission characteristics of the system were tested and verified. The transmission characteristic test results are in good agreement with the MATLAB simulation analysis results, indicating that the designed low-power magnetic coupling resonant wireless power supply system can perform good wireless energy transmission, and also provide new ideas for the development of low-power wireless charging equipment.

Abstract：The design of MMC-STATCOM controller based on auto disturbance rejection technology is studied. Based on the ADRC, the active disturbance rejection controller is designed for the active and reactive current decoupling tracking. By scheduling the transition process, setting the expansion observer and the nonlinear state error feedback link, etc. The simulation model is built in MATLAB/Simulink to verify the effectiveness of the proposed control strategy. The results show that the MMC-STATCOM controller based on ADRC technology effectively overcomes the contradiction between PI control response speed and overshoot, achieves effective dynamic compensation of disturbance, solves the problem that the current tracking effect of the inner loop current tracker based on PI regulation is poor when the input of MMC-STATCOM is disturbed, and leads to a long transition process or even instability of the system.