Abstract：In the design of receiving circuit of anti radiation seeker, aiming at the heavy amount of data processing in the back end signal and the complicated connection between analog front end and digital back end, a receiver scheme of seeker based on digital down conversion(DDC) module and JESD204B high speed serial interface is proposed. The scheme adopts modular design idea, and digital down conversion of multi baseband signals is completed in advance in front of the seeker analog front-end, so the amount of data processed at the back of the signal is reduced. Using a new generation of high-speed serial JESD204B interface as analog front-end output, the JESD204B single channel receiver interface has been completed in Xilinx's Kintex-7 series FPGA by means of simulation and analysis JESD204 Phy IP. Through simulation and experiment, it is proved that the designed receiving scheme meets the functional requirements of the anti radiation seeker and has certain advanced characteristics.

Abstract：In view of the current problems more complex, more and more SOC internal clock interface and metastability, leakage and other common signal, we analyze the advantages and disadvantages of previous methods of optimization, then, starting from the circuit point of view,we put forward a kind of interface and clock domain signal method SOC new asynchronous. This method has simple circuit and high reliability. It can be adapted to minimum width of input pulse and verified by simulation and experiment. It can not leak signal, avoid false triggering and multiple triggers, and solve the problem of sub steady state.

Abstract：Based on characteristics of instantaneously, large capacity and miniaturization of digital image acquisition and processing technology, a real-time video image acquisition and processing circuit system was designed，FPGA was used as the center of controlling the whole system and the center of processing image data. With DDR2 SDRAM the core component of high speed storage module, and CMOS 7670 the video image acquisition device. Through the Quratus II and Modelsim software for edge detection algorithm and the control process, each module of the hardware design and simulation, the realization of the video images from the collection and storage to the treating and display, which shows smooth, clear and real-time.

Abstract：The paper puts forward to design a camera controller in view of the computer at the receiving industrial high-definition camera through the image acquisition card transmission of image data signal processing operation of low speed and oneness. The controller connects with the camera through the Camera Link cable at the device end, makes use of FPGA(Field Programmable Gate Array) for image acquisition and algorithm implementation. Algorithms run on the computer is transplanted into the equipment, process the completed data is sent to the computer via Ethernet.Compared with the original method, the method can make full use of the FPGAto the signal of high speed parallel processing ability and is able to complete the image transmission of 300 frames per second, real-time extraction of each frame image centroid coordinates for the use of computer at the same time, the high demand of configuration of the computer is not required.The method provides a effective way for control of receiving more camera data and simultaneously to signal processing.

Abstract：In order to meet a high-speed, high-precision DAC design requirements. A practical reference voltage source is designed by the basic design principle of the bandgap reference voltage source, and a voltage reference circuit with fast start and high stability is obtained. The post-layout-simulation results show that the output voltage is 1.184 V at 0.5 V when the power supply voltage is 2.5 V, the starting time is 0.5 μs, and the output voltage is 0.185 5 mW. In the temperature range of -15 ℃~75 ℃ temperature drift coefficient is 8.7×10-5/℃. At low frequency when the power supply voltage suppression ratio of -85 dB; drawing the size of the area is only 154.799 μm×48.656 μm.

Abstract：Based on the analysis of the transmitter and receiver model of 802.11a WLAN system, a scheme of channel estimation，equalization and FPGA implementation based on the preamble of the OFDM system is proposed, including channel estimation and compensation. The circuit modules in the scheme are written in Verilog HDL language and they are simulated，complied and synthesized in the Xilinx programming software vivado 14.2.The result of the simulation indicates that all the modules run well and meet the requirement of the design.

Abstract：In view of the real-time requirement of PSO in practical applications, the parallelism of the algorithm is analyzed. According to the architecture characteristics of TMS320C6678 multi-core processor, this paper designs a local parallel and global serial model, and maps the application program to multi-core processor efficiently. The experimental data shows that the design gives full play to the performance advantage of C6678 and improves the real-time processing capability of the system effectively. The design promotes the application of PSO algorithm in practice effectively and is of important significance to other kinds of swarm intelligent algorithm.

Abstract：With the implementation of the national fifth emission standard around the country, the post-processing system of diesel truck will become more stringent. In this paper, the controller of the selective catalytic reduction(SCR) system will be designed to meet the national fifth emission standard. The main method is to study the injection control strategy of SCR system. Then the catalyst model of SCR system and the open loop control system model are established in MATLAB/Simulink and the accuracy of the control model is verified by experiments. The layer code of algorithm is generated by MATLAB/Simulink automatically. Additionally, the paper transplants the preparation of related underlying module with the algorithm layer to achieve the software layer of SCR system. Finally, the diesel engine with SCR system will be tested in the European test steady-state cycle(ESC) and Europe transient test cycle(ETC).

Abstract：A design method of photovoltaic power communication management system based on SoC FPGA is introduced in this paper. The system uses the new-type SoC FPGA integrated with ARM hardcore process as its main control chip, which divides the work of operation and communication of traditional communication management unit reasonably and is implemented by FPGA and ARM processor. By adopting the design of combining hardware with software, this system can simplify the circuit design, reduce the number of CPU interrupts for communication transactions, increase the total number of RS485 ports which support MODBUS protocol，and the system is recoverable in a disaster situation through the independent NIOS II backup system, etc, so it is more suitable for the application of multiple devices and massive data in photovoltaic power system.

Abstract：Object tracking has become an important branch of computer vision currently. In recent years, because the tracking algorithm with kernel correlation filter uses the properties of circulant matrix, the main operation is element-wise product in the frequency domain. It achieved the great performance and speed than the previous tracking algorithm. However, when the target size changes and the target is seriously blocked, it couldn’t track accurately. Based on the above reasons, a scale updating algorithm and acoarse-to-fine target relocation algorithm are proposed to improve the KCF algorithm. The algorithm is transplanted on the eight-core DSP processor TMS320C6678 successfully. Through multi-core parallel processing，it achieved 30 frames/s real-time tracking frame rate.

Abstract：In order to solve the precise heading measurement problems of low cost rotor unmanned aerial vehicle(UAV), a method of heading measurement system based on MEMS sensors is designed in this paper. The system is composed of MEMS IMU, electronic compass and microprocessor ST32F407. The gradient descent algorithm with lower computational complexity and the improved second-order complementary filtering algorithm are used to fuse the data of the electronic compass and IMU which have the complementary characteristics. Then the coordinate system with quaternion is converted to calculate aircraft heading information. Through the testing experiment of heading measurement system on the rotor UAV, the analysis results show that without external information aided，the system could solve the problem of interference measurement and heading noise, and it can meet the requirements of the heading information of the small rotor UAV.

Abstract：The positioning accuracy of pipeline leakage mainly depends on denoising effect and time delay estimation performance. In view of the problem of poor positioning accuracy of current pipeline leak, Non-Local Means-Empirical Mode Decomposition(NLM-EMD) autocorrelation method for denoising and Fuzzy C-Means clustering(FCM)-second correlation method for adaptive time delay estimation are proposed. NLM is used for noise reduction pretreatment, and the signal is recombined and de-noised according to autocorrelation criterion of EMD, then FCM is used to adaptively extract the pressure drop signal with higher correlation, and second correlation can estimate the delay of the signal. The results show that NLM-EMD autocorrelation method can effectively reduce noise interference and improve the decomposition quality of EMD, FCM-second correlation method can enhance the correlation of the two leakage signals, and the positioning accuracy is improved by 0.817% compared with the direct second correlation.

Abstract：A system that can monitor indoor environmental parameters and monitor remotely is designed. Through the dust concentration sensor, temperature and humidity sensors, combustible gas sensors and pressure sensors，it detects the current environment parameters, and then the microcontroller processes the data collected using Kalman filter, to get the more stable data. On the data display side, the data is sent to the self-assembled network through the hardware part of the Wi-Fi module. The browser-side programming uses the MyEclipse development environment, uses the JavaWeb language for Wi-Fi information crawling and processing, and transfers the data to Cloud, realizing the visual system design from the data collection to the network transmission, and finally to the user remote monitoring.

Abstract：In order to solve the problem of poor precision of active vision navigation in complex road conditions, a new direction guided optimization based vision navigation method is proposed. Firstly, the transformation equations of the vehicle physical coordinate system and the visual image coordinate system are established, and the detection of video image by Canny operator is proposed. Secondly, the shadow and water clutter on the detection performance interference is reduced based on the direction optimization, and the road sign line, inner and outer edge are accurately detected based on the generalized Hough transform threshold optimization. Finally, the center guide line for navigation, the deviation angle and the distance are calculated based on the test experiment. The experimental results show that the proposed method can effectively and accurately obtain the offset parameters of active navigation system.

Abstract：An intelligent optical detection and remote monitoring system is designed based on the principle of physical optics. The system uses a microcontroller unit to control the polarizer movement, and uses the photosensitive sensor to detect the light intensity. It can detect the optical characteristics of different substances accurately. Furthermore the system is used for the actual detection on common situation of honey adulteration, the results can tell whether the honey is adulterated and determine the type of adulteration. Meanwhile it designs a remote monitoring system which is based on Android and PHP in order to support an effective remote supervision on the quality of samples.

Abstract：In this paper, an active noise control platform for the vehicle is built based on FPGA. The platform can correctly collect the speed, vibration acceleration and noise of the vehicle in real time, and provide a hardware platform for the related noise reduction algorithm. Compared with the traditional serial processing based acquisition system, the platform can strictly guarantee the time synchronization of multiple signals, and its scalability allows users to easily increase the number of channels according to their own needs, and no additional processor is required. FPGA programmability can guarantee the full verification and design of noise reduction algorithm. The construction of the whole platform provides a strong foundation for the continuous research of active noise reduction.

Abstract：Aiming at the problems of large volume and expensive price of existing 3D shooting equipment, a miniature embedded 3D image sensor is designed by using FPGA high-speed parallel processing capability and image sensor. Through the FPGA synchronization settings，image data of dual CMOS image sensor is acquired, which is transferred to the SDRAM to cache and merged by line pixel，and then the left and right stereo images are stored in the SD card. In order to monitor the shooting scence, we further study the logic control method displaying the right and left eye images reassembled by pixels on the naked eye 3D display screen. The simulation and experiment show that the hardware logic method of 3D image sensor is effective.

Abstract：To study the relationship between the performance and the size of the filter, a W band rectangular waveguide bandpass filter with cross-coupling structure is designed. The cross-coupling structure reduces the rectangular coefficient by 25.7% and enhances out of band rejection. The simulation results of the three kinds of center frequency models show the scale effect between the center frequency and the structure size. The parameters of the filter are analyzed by HFSS software. The results show that the center frequency is mainly controlled by the size of the cavity, the coupling structure mainly affects the loss of the filter and the thickness of the diaphragm can control the passband bandwidth. The 90 GHz filter model is processed and tested, and the test results are mainly agreement with the simulated results.

Abstract：K-means fingerprint localization can reduce the complexity of localization, and improving the real-time of location has become a hot-spot of current localization algorithm. However, the randomness of clustering has resulted in great instability to the localization. In this paper, two-step clustering algorithm is proposed to optimize the clustering number according to the AIC criterion. Considering the nearest neighbor algorithm would result in great error, correlation coefficient method is used to determine the highest similarity of the sub-library, and estimate the final position. The experimental results show that the optimized algorithm improves not only the positioning accuracy, but also the real-time and stability of localization.

Abstract：As an important process of UE initial access and uplink synchronization, the random access procedure is simplified and modified on the basis of LTE system in NB-IoT. Through the random access procedure in LTE system, a random access procedure based on competitive mode which is currently supported by NB-IoT is deeply analyzed and a conformance test platform based on TTCN-3 is built to verify the consistency of the random access procedure with the standard.

Abstract：Community detection and partitioning has become a critical issue in large-scale social networks. However, the applicability of most existing methods is limited by computational costs. In order to improve the quality of community division and calculation efficiency, a community detection algorithm based on un-weighted graphs is proposed. This algorithm uses two parameters to measure the community to achieve community discovery, which is clustering coefficient and common neighbor similarity, and its effectiveness is proved by the academic formula. Experimental analysis is carried out using a real social network dataset, and compared with other algorithms proposed two methods. The experimental results show that the proposed method is more efficient and the computation time is linear. It is suitable for community detection in large-scale social networks.

Abstract：Because people do not consider the requirement of communication in the construction of power line, that resulting in the poor channel environment and the orthogonality between the sub-carriers are damaged. Meanwhile, the symbol offset will occur in the receiving terminal, which will cause the inter symbol interference, so it has very important significance to estimate and compensate the frequency offset and symbol offset for OFDM symbol effectively. According to the special frame structure of G3-PLC, this paper uses the double correlation detection method to compensate the frequency offset and symbol offset of the OFDM system. At last, the algorithm is confirmed by Monte Carlo approach. The results indicate that the synchronization algorithm used in this paper can be very good to compensate for the frequency offset and symbol offset of the system, and the algorithm is very simple and has strong adaptability to the channel.

Abstract：In view of the dynamic sources in the noisy case, this paper proposes a novel online blind source separation(BSS) algorithm which contains two parts. One is a dynamic source number estimation algorithm based on Rissanen’s minimum description length(MDL). It can estimate the instantaneous source number accurately. The other is a variable step-size neural network algorithm based on bias removal. It employs the structure of feed-forward neural network, introduces the bias removal term corresponding to the noise into the learning criterion and provides the variable step-size scheme for the new learning criterion. Simulation results show that the proposed algorithm has the superior separation performance for both static sources and dynamic sources in the noisy case in comparison with the existing BSS algorithm for the dynamic sources.

Abstract：Although the strategy uses device-to-device technics to cluster and forward can improve the performance of cell, it still lacks of safety and efficiency. But those problems can be made up by adding social attributes. Therefore, this paper will raise a novel strategy which takes the social attributes into consideration. At the same time, it utilizes the Chinese Restaurant Process(CRP) algorithm to cluster. The simulation result shows this strategy can improve the spectral efficiency and reduce the load of base station while considering safety.

Abstract：Aiming at the problem of fault diagnosis during detecting electrical equipment，pulse coupled neural network for infrared image segmentation was studied，and a novel segmentation approach was presented in this paper. Firstly, a new dynamic threshold is set by using the neural pulse output and the activities. Meanwhile, a relationship between the parameters and characteristics of firing region of neurons is set to allow the neurons to produce the pulse output. And then, a non-parametric clustering rule is incorporated in the model to ensure that the captured neurons with brightness similarity to be pulsed together. The dynamic threshold is then updated since a terminal condition is provided. Finally, experimental results show the higher efficiency of our method for image segmentation in compared with traditional thresholding methods，normalized cuts and classic PCNN on real-world infrared images.

Abstract：Radar engineers often have special requirement for the RCS data computation and analysis of target. The investigation of target delectability can been obtained by 1-dimensional probability density functions(PDF) and 2-dimensional RCS intensity. Based on varying angles of incidence and frequency of excitation RCS data, target′s Inverse Synthetic Aperture Radar(ISAR) image can been calculated by 2D-IFFT. FEKO is a 3D commercial electromagnetic software. In this paper, a missile model′s RCS is computed by FEKO, the RCS 1-dimensional PDF and 2-dimensional RCS intensity and ISAR image are also presented.

Abstract：A way of fulfilling laser radar SLAM on Cortex-A53 processor based platform is introduced in this paper to solve the high hardware cost problem on SLAM. This paper builds software platform on the Cortex-A53 processor based platform, and fulfills SLAM based on the platform just build with data from laser radar, and the relating code is improved，so that the processor platform is able to satisfy the calculating amount of software. As is proved in this article, this Cortex-A53 processor based platform is able to build a refined map as well as perform indoor navigation and obstacle avoidance, and as a result the hardware cost of SLAM on mobile robot is lowered.

Abstract：The research of GGO lung nodule is rarely, but it is more possibility of malignant lesions. The direct use of the threshold method is not extract GGO lung nodules of good way due to the contrast of the GGO nodules is lower than the contrast of the blood vessels and the physical nodules, the non-spherical GGO lung nodules can′t be extracted that it used multi-scale dot filter of directly. Therefore, the method detection of GGO nodules is proposed based on shape feature and enhance filter. First of all, shape index method is used to extract all or part of spherical structure GGO nodules, then the spheres of nodules and the vessels are removed of image, and enhancement filter is used to stretch the contrast between GGO nodule and lung parenchyma, then threshold-based approach is used to extract GGO candidate nodules. Accuracy of the test is improved, the characteristics of pulmonary nodules are extracted and selected, the optimal combination of features are trained by SVM classifier and extract pulmonary nodules, algorithms are evaluated and compared. Simulation results show that it is better than the existing two methods，the method can reduce false detection rate，and the sensitivity and specificity are improved.

Abstract：A multi-tracked omnidirectional mobile robot is designed with four sets of passive concentric steering structure. The robot not only has the ability of omnidirectional movement, but also has the characteristics of smooth operation and strong load capacity. The robot uses the ST Nucleo-F446RE development board as the controller, uses the rotary potentiometer to measure the deflection angle of each track unit, and independently controls the 8 track movement through the motor driver to realize the omnidirectional movement of the robot. The experiment collects the velocity of each track and the deflection angle of each track unit. The trajectory of the robot in two kinds of motion is calculated by the dead reckoning method, and the omnidirectional movement ability of the robot is verified.

Abstract：The voltage detection used in buck converters has two modes: near-end and far-end feedback. With the improving requirement of compensation accuracy, the selection of compensation method can’t meet the requirements which is traditionally chosen based on the experience. In consideration of the actual path impedance and chip voltage tolerance in the article, the near-end and far-end feedback of the buck converter is simulated with SIMetrix/SIMPLIS tool, the accuracy of the simulation results is verified with the static and dynamic response data, it provides a feasible and quantitative description method for the feedback mode selection.

Abstract：Car charger is the key equipment for the development of electric vehicles. Such equipment is prone to exceed the maximum temperature rising limitation when operating in high temperature environment. Meanwhile, the device temperature of the vehicle equipment is difficult to obtain directly due to the road conditions and other issues, and therefore cannot achieve the temperature protection. In this paper, a smart power adjustment method based on the power device lumped parameter thermal circuit model is proposed aimed at overcoming this problem. In this method, the power device that has the highest temperature inside the charger is analyzed firstly. Then, power device lumped parameter thermal circuit model is established, which is correlated with the ambient temperature and output power. Next, the optimal model parameters can be effectively estimated via the least square method. The experimental results verify that the power control method based on the thermal path model can effectively limit the temperature rising of the charger power device, and improve the thermal stability of the charger.

Abstract：In the unbalanced or non-linear load conditions, the ordinary three-phase three-leg inverter can not produce three-phase symmetrical voltage, based on the Simulink simulation platform, this paper presents a new closed-loop control design scheme for three-phase four-leg inverter. In this scheme, the first three arms of the inverter adopt space vector pulse width modulation(SVPWM), the fourth bridge uses the current hysteresis loop modulation(CHBM) to track three-phase current signal. Compared with the traditional four-leg integrated SVPWM modulation, the control system is simple and easy to analyze. The simulation results show that compared with the ordinary inverter, the waveform of the four-leg inverter with the control scheme is smoother, which not only enhances the ability of the system with unbalanced load, but also improves the inverter system efficiency and total harmonic distortion(THD).

Abstract：The hybrid system consists of discrete subsystems and continuous subsystems. The variable conversion in the system is complex and the parameters are uncertain, which leads to the high false alarm rate of fault diagnosis. For this problem, a single phase full bridge inverter is the research object, and a bond graph in linear fractional transformation(BG-LFT) is proposed to establish a diagnostic hybrid bond graph(DHBG) model of the system parameter uncertainty and to generate the adaptive threshold according to the model. Based on causal and structural properties of the hybrid bond graph, robust analytical redundancy relations for all valid modes are then derived from the DHBG, and the residual is evaluated by the adaptive threshold to realize the robust fault diagnosis of the hybrid system. Modeling and simulating in 20-sim, the simulation results verify the effectiveness of the proposed method.

Abstract：A method of PMSM DTC method based on giving priority to the torque control was proposed due to the problem that the reference voltage vector was difficult to compute in PMSM SVM-DTC method. The reference voltage vector of making torque change quickly was selected in the expanded vector table on the basis of torque priority control principle. And combined with the difference between feedback torque and reference torque could determine the operating time of the reference voltage vector. The structure of this new method is simple and easy to implement. It has not only the quick response and strong robust inherited from traditional DTC method but also small torque ripple and fixed switching frequency in power device inherited from SVM-DTC. The system model was set up in MATLAB/SIMULINK and the simulation verifies that the method is effective.