Abstract：The development of UAV industry is introduced, the basic concept and system of networked UAV is analyzed and summarized, and the research and analysis of 5G ubiquitous low altitude network, 5G technology collaborative safety control and 5G UAV cloud platform capability enhancement are carried out. The construction plan and deployment plan of 5G-based low-altitude network are proposed, the development of UAV safety control and capability platform based on 5G and eSIM technology is explored. And finally, the application of 5G network-connected UAV is discussed.

Abstract：This paper analyzed the differentiated requirements of different business systems for communication network in three domains including urban rail transit safety production, internal management and external services, and studied the key technologies of 5G virtual private network construction, such as 5G network slicing and multi-access edge computing. Based on 5G network slicing and multi-access edge computing technology, this paper presented a technical scheme of constructing virtual 5G private network of urban rail transit for different demand scenarios, which provided a strong support for the development of urban rail transit to convenience, efficiency and intelligence.

Abstract：Intelligent manufacturing has become the trend of shipbuilding. Industrial Internet is one of the key technologies to realize intelligent manufacturing. As a new generation of mobile communication technology, 5G has the characteristics of wireless, high speed, large capacity，low delay and high reliability, which is highly consistent with the requirements of information transmission in industrial Internet. Domestic shipyards have made many explorations in the application of industrial Internet, but some problems have been exposed, such as high implementation cost, isolated data island, and difficult equipment access to network. The typical application scenarios of 5G in shipbuilding industrial Internet are proposed by combining with the characteristics of shipbuilding and 5G technology. Finally, proposals for application of 5G in shipbuilding industrial Internet is made.

Abstract：In order to improve the rapid response and intelligent level of public security patrol, a set of networked UAV intelligent patrol solution is constructed based on 5G, UAV(unmanned aerial vehicle), MEC(multi-access edge computing) and AI(artificial intelligence). UAV network connection is realized through dedicated 5G communication terminal, high-definition video remote backhaul is realized with 5G uplink ultra-large bandwidth, and ultra-low latency of 5G MEC is used to realize precise control of UAV beyond visual range. Aiming at the video features of low-altitude UAVs, the face recognition algorithm is optimized, the face is accurately captured in real time and the character feature AI recognition is performed to realize smart patrol and defense. Application practices and tests were carried out on the construction site, real-time monitoring of whether people near the construction site were wearing masks, the expected results were achieved.

Abstract：5G network has the characteristics of larger bandwidth, wider coverage, faster speed, lower delay, more reliable connection, and so on. It will provide a wider prospect for the development of industrial Internet. 5G network needs to provide network slice, MEC, uRLLC and other capabilities to industry users through a convenient way. Based on the study of industrial demands and 5G key technologies, the matching between industrial scenario and various 5G capabilities are refined, and 5G networking schemes for industry are proposed to fit different scenarios, in order to promote the deep integration of 5G network and industry.

Abstract：This article summarizes the intelligent optimization algorithm of finite impulse response digital filter(FIR). The main idea of optimization design is to transform the digital filter design problem into the error function minimization problem. Compared with the traditional methods, this method is easier to determine the boundary frequencies of the pass-band and stop-band, to reduce the computational complexity and the errors of amplitude frequency response both in pass-band and stop-band. This paper analyzes and compares the characteristics of genetic，evolution，and particle swarm algorithms in the design of FIR digital filters from the perspectives of convergence speed, pass-band ripple，and stop-band attenuation. It focuses on the improvement strategy of the weight of inertia in particle swarm algorithm.

Abstract：At present, power companies face many threats to the network security, and the power monitoring system has insufficient information security capabilities. Network security protection monitoring is particularly important. In this context, the construction of a defense-in-depth system based on cyber security offensive and defensive exercises is launched, deployment and protection from both technical and management aspects are carried out and system protection is combined with corporate management and technical support，to solve solving security problems at different levels, strengthen the overall enterprise network security protection capabilities，and lay a good foundation for future safe production and management.

Abstract：The rapid development of edge devices and the application of deep learning are increasing, the trend of combining the two is becoming more and more obvious. The potential of AI applications for low-power edge devices has not yet been fully developed. A large number of devices hide a lot of computing power. The social and economic benefits brought by the release of its potential are very obvious. Therefore, taking the more common face detection in objective detection tasks as an example, the MTCNN face detection algorithm is improved and transplanted to a low-power embedded platform with extremely limited resources. Under certain environmental conditions, the face is finally successfully detected,and the face candidate boundingbox is drawn, it has face tracking function combined with the servo.

Abstract：With the rapid development and rapid development of computer communication network technology, network attacks and destruction emerge in various forms and emerge in endlessly. Situation awareness system provides a comprehensive guarantee for network security. Improving the stability, accuracy and rapidity of situation assessment and situation prediction modeling is an important direction of situation awareness system research. As a deep learning intelligent algorithm, deep belief network brings new direction to the accuracy and theorization of network security situation assessment and situation prediction. Considering the deep belief network algorithm, the restricted Boltzmann machine is used as the basic network, and layer by layer pre-training and fine tuning are the core parts of the network. The generalized network security situation assessment index system is constructed, and the data-driven model of situation assessment and situation prediction of computer communication network security is established. Experimental simulation is carried out through the intrusion detection data set CIC-IDS2017 to verify the accuracy and effectiveness of the model.

Abstract：Based on the UMC 40 nm CMOS process, a programmable gain amplifier(PGA) with DC offset cancellation circuit(DCOC) is designed. The PGA adopts a closed-loop resistance negative feedback structure and consists of a cascade of two gain units. DCOC circuit is based on the traditional DC negative feedback structure, a nested feedback method is proposed to reduce the power consumption and area of DCOC circuit. The simulation results show that within the gain variation control range of 0～52 dB, the high pass cutoff frequency and the relative inhibition degree of DCOC are constant at 10 kHz and 50 dB,and the maximum correctable input misalignment at 0 dB is 110 mV. Compared with the traditional design method, the area of DCOC has been reduced by almost half.

Abstract：With the development of science and technology, the design of integrated circuit becomes more and more complex.In the design process, the division of hardware and software also produces more choices. In order to meet the complex design requirements for integrated circuits, the development and design of SystemC, which inherits the C + + extension library, came into being. SytemC can meet the requirements of hardware and software codesign, and can be quickly simulated and verified in the design process. In this paper, the communication protocol(ISO/IEC 18000-6C) is modeled and designed at a higher level. The protocol communication between interrogator and tag is realized by function call. For UHF RFID(Ultra High Frequency Radio Frequency Identification)communication protocol, from system level design to behavior level design, the top-down design of the protocol is realized, and the design of tag identification layer and baseband communication link layer is completed. Finally, the source code of this systemc is transformed into Verilog and other hardware description languages by using Vivado HLS synthesis software, and the software description of system level is synthesized into RTL code. This paper focuses on label baseband link encode_T module, after FM0 / Miller coding simulation of data "1001001001011001" in Microsoft Visual C++ 6.0, the waveform verification is completed in Modelsim, and it is transformed into RTL level circuit by Vivado HLS integrated software.

Abstract：Thermal drift is a key factor in gyroscope precision. To ensure the output accuracy of the hemispherical resonant gyroscope, a temperature control system for the hemispherical resonant gyroscope has been designed in this article. It provides gyroscope with constant temperature to reduce the influence of temperature and inhibit the thermal drift. This system combines hardware design and software programming. The relay-type self-tuning PID control algorithm is applied so that the design of hemispherical resonant gyroscope temperature control system can be completed.An incubator and a control cabinet has been designed as hardware. A metal tray is placed in the incubator to hold the hemispherical resonant gyroscope. Oil circulate system and data acquisition equipment in the control cabinet play the role of heating, cooling and data acquiring. From the aspect of software, the whole system is programmed by LabVIEW, a visual interface is also developed in the master. The experimental results show that the temperature control system can achieve the expected design effect, and the temperature control accuracy can reach±0.05 ℃.

Abstract：Tilt-rotor UAV(unmanned aerial vehicle), integrating the VTOL(vertical take-off and landing) and hovering of the four-rotor UAV and long-distance and high-speed navigation capabilities of the fixed-wing UAV, is a new model of UAV. In this paper, the dynamic model of tilt-rotor UAV is established by analyzing and calculating the pulling force of such UAV blades. And this paper measures the response of pulling force coefficient and steering gear motor in the model. At the same time, a control circuit is designed for multiple PWM outputs. The program is designed for the tilt angle and tilt process to complete the transition process of the two modes. The test result shows that the control system can complete the movement of the tilting process and realize self-stabilization.

Abstract：In traditional Doppler velocity measurement, mixing quadrature and low-pass filtering are generally implemented in software, which results in relatively long measurement time and low accuracy. In order to solve the above-mentioned, STM32H743 single chip computer with faster operation speed and larger memory capacity has been used as the main control chip, and a Doppler velocity profiler is designed by using signal mixing, orthogonal and FIR low-pass filtering in the hardware circuit, which greatly reduces the CPU operation time and improves the measurement efficiency. At the same time, FFT algorithm has been used to analyze the signal quality, and autocorrelation algorithm has been used to calculate the velocity of each layer. Through the experiment, the frequency deviation and velocity are analyzed. The results show that the design of the system can meet the requirements of accurate measurement in actual small streams, and it is feasible.

Abstract：At the present, evaluating the anti-jamming performance of data-link only aims the certain type of interference, but the comprehensive anti-jamming performance evaluation of the whole data-link system is scanty. So it cannot evaluate the data-link integrally. In this paper, the index hierarchical structure model of the data-link is established. The comprehensive anti-jamming performance is decomposed into multiple indexes, and then the index evaluation set is formed, the weight of each index is determined. In view of the fact that the weight cannot reflect the scarcity of indexes, an adaptive correction algorithm is proposed to correct the weight value, and then a more scientific and reliable evaluation of the comprehensive anti-interference performance for data-link is achieved.

Abstract：With the continuous evolution of the mobile communication generation, human society has gradually convert from the era of “Mobile Internet” to the era of “Internet of Everything”. 5G networks will break the limitations of the traditional mobile communication industry and reshape the social development model. 5G will realize a new round of information revolution. As a new generation of mobile communication technology, 5G could provide basic communication guarantee for current innovative applications, such as the Internet of Things, autonomous vehicles and industrial Internet, and meet the explosive growth of data traffic and massive device connections. Security is a core for the comprehensive promotion of 5G networks. This paper analyzes the security risks in 5G networks and clarifies its security requirements. Finally, it proposes the corresponding security architecture, which will provide reference for the subsequent development of 5G network security technology.

Abstract：Based on CORDIC improved algorithm, a hardware implementation method for rapid location and correction is proposed，which can detect and decode QR codes quickly and accurately. After obtaining the image through the camera and preprocessing by a series of hardware modules, the algorithm can locate and extract the QR code image quickly and accurately. Moreover, the CORDIC improved algorithm is used to extract the rotation correction of QR code, which can realize the rotation correction within 360 degrees. The CORDIC improved algorithm can save hardware resources and improve the system speed by replacing the multiplier with shift and addition. Besides, the circuit design is completed by Verilog hardware description language, and the algorithm is verified on the FPGA. The maximum clock frequency of the whole module can reach 267.95 MHz, which can quickly detect and extract QR code images in microsecond time.

Abstract：In the information-based war era, OODA command and control loop is widely used in military simulation. The flexibility and efficient parallelism of distributed simulation promote the development of combat simulation. According to the requirement of combat simulation, this paper studies the core technology of distributed simulation system, which is time management algorithm. Based on the characteristics of OODA command and control loop, this paper proposes an adaptive moving time window algorithm. The algorithm adaptively adjusts the size of time window according to the model, which can avoid frequent synchronization and clear the memory accurately. In order to further optimize the time management algorithm, the author also proposes an improved global virtual time algorithm to improve the blocking process in global virtual time synchronization calculation. Through detailed analysis of the steps and principles of the algorithm, and verification by an example, the results show that the algorithm can effectively guarantee the running of distributed simulation, and the running speed is better than other traditional time management algorithms.

Abstract：A technical scheme of RESTful Web API service architecture is presented to solve the problem of retrieving massive remote sensing images.Firstly, the advantages of RESTful architecture over traditional Web architecture are studied, and its use fully implements the idea of front-end and back-end separation. Then Spring related framework is taken as the implementation of RESTful Web API service architecture, and the classic MVC hierarchy is used to design.Finally, it refers to Postgis′s ability to process spatial data, improves the spatial retrieval function of services, and puts forward the interactive mode of spatial query and the scenario of application of services.The results show that this architecture can be used in remote sensing image retrieval system to make it more concise and efficient.

Abstract：Compressed sensing theory provides a new way of signal acquisition.The signal is sparse transformed, and a few observed values are used to reconstruct the signal with high precision.Among them, the signal reconstruction method is the core of compressed sensing. Among all kinds of signal reconstruction algorithms, the most direct and effective signal reconstruction method is to solve under L0 Norm.In order to solve the problem of poor reconstruction quality of NSL0(Newton Smooth L0 Norm) algorithm, this paper proposed a faster and more accurate signal reconstruction algorithm named ACNSL0(Arc Cosin Newton Smooth L0) Norm, based on NSL0 algorithm, adopting the arccosine function with greater steepness, and combining the modified Newton method and Newton damping method.Experiments on one-dimensional signal and two-dimensional image reconstruction show that the reconstruction rate and signal-to-noise ratio are greatly improved compared with similar algorithms under the same conditions.

Abstract：Modern information warfare requires more and more high requirements for positioning and orientation system. Strapdown inertial navigation system is an indispensable positioning and orientation system for special vehicles. Based on this requirement, a signal processing platform of strapdown inertial navigation system with 100% localization rate is designed and developed. The platform is also adapted to RTLinux operating system, which can be applied to vehicle-mounted positioning and orientation system, airborne control system, avionics system, portable base station system, etc. Through design, development and experimental test, the function and performance of the strapdown INERTIAL navigation system signal processing platform meet the operational requirements, providing a solution for the autonomous and controllable localized strapdown inertial navigation system signal processing platform.

Abstract：Aiming at the problem that the attitude sensor of the quadrotor was susceptible to interference, resulting in large attitude output errors, a multi-sensor quadrotor attitude control system based on STM32 was designed. The system used sensors such as MPU6050 to collect the attitude data of the quadrotor in real time, calculated the attitude through the quaternion complementary filtering algorithm, and used the cascade PID control to drive the motors in PWM mode. Based on the design of the software and hardware of the system, the physical production and flight test of the quadrotor were completed. The results show that the system can flexibly control the attitude of the quadrotor UAV and realize the stable flight of the quadrotor UAV.

Abstract：This paper proposed an environmental RF energy acquisition system based on GSM-1800 and WiFi frequency bands. The system consists of a dual-frequency circularly polarized antenna, a dual-frequency rectifier circuit and a load. The impedance bandwidth of the circular polarization antenna is 1 GHz～2.6 GHz, and the axial ratio bandwidth is 1.78 GHz～1.96 GHz and 2.37 GHz～2.59 GHz. The designed dual-frequency rectifier has a maximum RF-DC efficiency of 44% when the 1.825 GHz single-frequency input is 10 dBm. In the case of 2.45 GHz input power of 8 dBm, the highest RF-DC efficiency is 49%. When the dual-frequency input power is 7.5 dBm, the maximum RF-DC conversion efficiency is 53% and the DC voltage is 1.73 V. Placing the designed dual-band energy harvesting system near the router and the phone being called, an LED light can be lit to realize its energy harvesting function.

Abstract：Based on 0.18 μm CMOS IC process, a high-precision clock circuit that controls power supply voltage to compensate temperature was presented，which effectively avoids the influence of temperature changes and power supply voltage fluctuations on the oscillation frequency. Compared with the other types of clock generating circuit, this structure does not require bandgap reference sources and operational amplifier. While optimizing performance, it greatly reduces the chip area and circuit complexity. Under the -40 ℃ to 85 ℃ temperature range, the output frequency is stable at 2 MHz and the clock deviation is less than 1%. When the power supply voltage fluctuates from 1.6 V to 2.0 V， the variation of clock oscillation frequency is 28 Hz at most.

Abstract：In the big data and artificial intelligence era, smart network interface card(smart NIC) is designed to take the data pro- cessing tasks, together with serves. The baseboard management controller(BMC) of server communicates with smart NIC through network controller sideband interface(NCSI). Therefore, a smart NIC may have to match with different servers electrically. To ensure a reliable smart NIC management, the designer must design the NCIS interface carefully and make all the signals meet NCSI specification. This paper discuss the design of server main board, cable and connector, smart NIC and the whole NCSI interface.

Abstract：In order to solve the shortcoming that Boost converter can obtain high voltage gain under the limit duty cycle, a new type of high-gain converter is proposed on the basis of the traditional Sepic converter. The converter retains the advantages of the continuous input current of the Sepic converter, by introducing a passive clamp circuit, the voltage stress of the switch tube is reduced, at the same time, the leakage inductance and the capacitor in the circuit have a resonance process, effectively reducing the impact of the diode reverse recovery problem. The working process of the converter in each switching mode was analyzed in detail, the voltage gain expression of the converter was deduced, and the voltage stress of the switching device were calculated. A 100 W experimental prototype was made, and the correctness of the theoretical analysis is verified through experiments.

Abstract：L-band radio frequency is in the range of 1 GHz~2 GHz，which is widely used in rader, communication and navigation. The main research content of this paper is to design an L-band broadband, high dynamic RF digital receiver using RF digital receiver demodulation technology. In this paper, the design of L-band RF digital receiver is research at RF sampling, digital channel separation, receiver dynamic expansion and high-speed signal demodulation, and give a specific implement scheme of digital channel separation, high-speed signal demodulation based on FPGA digital signal process platform.

Abstract：Mechanical antenna is a new radiation mechanism that uses magnetic(polar) materials to radiate low-frequency signals, which is expected to solve the problems of large volume, high power consumption and low efficiency of existing low-frequency electrical antennas. In recent years, frequency modulation, which is widely used in the research of mechanical rotary transmitting antenna, has limitations in mechanical drive. This paper proposes a super-low frequency(30～300 Hz) mechanical antenna amplitude modulation method based on magnetic shielding technology, which separates radiation and modulation and performs them independently. The modulator controls the attenuation of the total field propagating outward through the states "open" and "closed" to realize amplitude modulation. Three-axis orthogonal coils are used to receive signals with different polarization directions. The characteristics of electromagnetic field generated by rotating permanent magnet are analyzed, the modulation is simulated, and an experimental prototype is built to verify the feasibility of the proposed method. The experimental results show that the information modulation does not need the permanent magnet to change the rotating speed frequently, thus overcoming the mechanical challenge faced by the frequency modulation of the rotary transmitting antenna.