Table of contents

This volume contains a unique collection of papers collected at 2^nd International Conference on Electronic Information and Communication Engineering (EICE 2023), which took place in Guangzhou, China in January 13^th to 15^th, 2023 (virtual conference). Each paper recognizes the seminal contributions to Electronic Information and Communication Engineering made by every author, and acknowledges their impact on their own researches.

The 60 scientific participants had many fruitful discussions and exchanges that contributed to the success of the Conference. Participants from more than 10 countries made the Conference truly international in scope.

There were 3 plenary keynote speeches covering the different areas of the Conference: Prof. Yongjin Zhou (Shanghai University, China) talked on Plasmonic Metasensors based on New Physical Mechanisms, Assoc. Prof. Santhosh Krishna B V (New Horizon College of Engineering, India) on Industrial Automation Using Internet of Things (Iiot) – (Opportunities and Challenges), Dr. Md. Khaja Mohiddin (BIT Raipur, India) on An Overview of Mobility in Wireless Sensor Network. The speakers gave very illuminating lectures that drew many people's full attention. These speeches, held on Saturday evening, were very accessible to a general audience. In addition, there were 3 oral reports on ongoing current research. These talks covered the full range of the Conference topics, which includes Wireless Networks and Information Systems, Digital Electronic Technology, GPS and Wireless Location, Communication Electronic Circuit, Electronic Science and Technology, Analog Electronics, etc..

All in all, the 2^nd International Conference on Electronic Information and Communication Engineering in Guangzhou was very successful. The plenary speeches and the progress and oral reports bridged the gap between the different fields of electronic science and technology, making it possible for non-experts in a given area to gain insight into new areas. Also, included among the speakers were several young scientists, who brought new perspectives to their fields.

We would like to acknowledge the authors of the papers collected in the present volume, the members of the Technical Program Committee and Local Organizing Chair for their guidance and support, and the referees for their generous work. Our thanks also go to the editors and other staff of the Journal of Physics: Conference Series, for their time and kindness in waiting for the final submission of the papers.

Given the rapidity with which science is advancing in all of the areas covered by EICE, we expect that these future EICE conferences will be as stimulating as this most recent one was, as indicated by the contributions presented in this proceedings volume.

The Committee of EICE 2023

List of Committee Member is available in this Pdf.

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.

• Type of peer review: Single Anonymous

• Conference submission management system: Morressier

• Number of submissions received: 63

• Number of submissions sent for review: 59

• Number of submissions accepted: 27

• Acceptance Rate (Submissions Accepted / Submissions Received × 100): 42.9

• Average number of reviews per paper: 2

• Total number of reviewers involved: 15

• Contact person for queries:

Name: Xuexia Ye

Email: xx.ye@keoaeic.org

Affiliation: AEIC Academic Exchange Information Centre

In this paper, we presents a correcting method based on an error table and fractional delay filter for correcting timing mismatch in a time-interleaved analog-to-digital converter (TIADC). This method uses the ramp signal to estimate timing mismatch and the error table storage error value. A Farrow structure fractional delay filter is utilized to implement the calibration of mismatch. Simulation results show that this method can realize the correction of timing mismatch and suppress the spurious component effectively with a good correction effect.

This paper studies the commissioning method of phase-locked loops to enable the phasemeters to achieve the required frequency and phase accuracy. The influence of different phasemeter structures on performance is explored. Through theoretical analysis and experiments, the debugging process of the phase-locked loop is clarified, which can meet its basic indexes, especially frequency and phase accuracy, and is optimized for its traditional structure.

In the sensor blockchain network, sensors need to collect data continuously and upload it to the blockchain network for verification of data integrity. The deployment of smart contracts on the chain can be used to authenticate data visitors. Historical data is valuable for data visitors, but it is useless for sensor nodes that can continue to link data only with current information. With the passage of time, the data of the sensor blockchain network will continue to grow. A node data storage mode that can adapt to the continuous expansion of the blockchain scale is needed, which can encourage nodes to join the network to participate in consensus and jointly maintain the security of the blockchain data. This paper provides a segmented storage solution based on state and block compression for sensor device nodes with limited storage capacity. After experimental verification, this scheme can significantly reduce the storage cost. It allows nodes to use blockchain for a long time in sensor blockchain networks with large transaction volumes and a large number of smart contracts and allows new nodes to be deployed faster.

Accuracy is an important index in the design of clock circuits. The clock performance is affected by the fact that the delay time of the comparator in the circuit is strongly influenced by the temperature. This paper presents a principal analysis of this phenomenon and proposes a specific method for optimizing clock accuracy. By changing the comparator's reference voltage, the clock accuracy is improved to meet the high-precision clock requirements. The high-precision clock frequency designed in this paper is 24 MHz, with temperature stability of ±1%.

In order to address the mutual coupling impact with orthogonal polarization sensitive array, the mutual coupling self-calibration strategy is suggested in this study. Firstly, the mutual coupling properties are used to modify the steering vector of the array. By transforming the matrices, the properties of the polarization and direction-of-arrival (DOA) are isolated from the mutual coupling coefficients. Then, using the rank deficit matrix approach, the estimated the polarization properties and DOA values of the incoming signal are ascertained. The eigendecomposition of the transition matrix utilizing the modulus restrictions is then used to get the mutual coupling coefficient. The technique may be used to produce high-precision results of the mutual coupling coefficient when there is a substantial gap in the power of the signal sources. The outcomes of the simulation demonstrate the viability of the advanced method used in this work.

Magnetic field downward continuation is an important technique for expanding geomagnetic database, which can separate superimposed anomalies and enhance the resolution of local anomalies. However, the adaptability of the fixed filter operator of the existing downward continuation algorithm to the wavenumber domain frequency component of the observed data is not good enough, which leads to the poor applicability of the algorithm, resulting in poor applicability of the algorithm. The downward continuation iteration method based on a low-pass filter is proposed in this paper. First, the residual terms based on the remainder of the first and second vertical derivatives are constructed by using the stability of upward continuation; Secondly, the upward continuation low-pass filter operator, single parameter low-pass filter operator, and two-parameter low-pass filter operator are designed, and the effects of their filtering characteristics on the continuation stability are compared. At the same time, the cut-off frequency and order of the filter operator with parameters are optimized to update the iterative value. Simulation and experimental studies are carried out under different field source depths. Simulation results show that the convergence performance of this method is better when dealing with shallow source field, and the continuation accuracy is improved by 15%–25%. The stability and effectiveness of the magnetic field downward continuation method are verified by the measured data.

A high-performance 3–6 GHz monolithic digital control attenuator chip is designed by using a 0.25 μm GaAs pHEMT process. The circuit adopts a cascade structure of 6 basic attenuation units, and 64 attenuation states are formed by controlling the on-state combination of different attenuation bits, and the attenuation structure connected in parallel to the attenuation resistor is given. The main simulation results show that the designed digitally controlled attenuator takes 0.5dB as the attenuation step, and the maximum attenuation value is 31.5 dB, an insertion loss of less than 2.55 dB, a return loss better than -15 dB, an attenuation accuracy of less than 0.5 dB for all states, an additional phase shift of less than -5°, a root mean square error better than 0.23 dB of attenuation amplitude, and chip size of 1.88 mm×1.0 mm.

Aiming at the problem of the estimation of hybrid modulated signal combining Binary Phase Shift Keying and Linear Frequency Modulation (LFM-BPSK), the existing methods have low estimation accuracy in low SNR. To solve this problem, the algorithm based on Born-Jordan time-frequency distribution (BJD) is proposed, which uses the Hough transform (HT) to estimate the initial frequency and chirp rate of LFM-BPSK signal, and then estimates the code element width by dimensionality reduction time-domain signal. Finally, simulation experiments show that the parameter estimation accuracy of the proposed algorithm under low SNR is significantly better than that of existing algorithms, and the performance is close to MCRLB.

Plenty of research show that edging computing can be applied in satellite network and it has been a hotpot. By deploying the MEC server, satellites can provide enough computing resources for tasks and reduce the delay required for task processing. Compared with traditional edge computing architectures, satellite edge computing (SEC) has a greater coverage area. In this paper, offloading decisions and resource allocation in low-orbit satellites are considered and an optimization algorithm MMTORA is proposed. The algorithm decomposes the problem to be optimized into two sub-problems, and they can be solved by the Nash equilibrium solution and Lagrange multiplier algorithm, respectively. We demonstrate that MMTORA can converge quickly and prove its superiority through simulation results.

The paper designs and implements a low-orbit constellation simulation system based on the distributed simulation platform. Based on analyzing the composition and the service process of the LEO constellation system, the overall architecture and index system of the LEO constellation simulation system are proposed. Taking the typical application scenario of the LEO constellation as an example, the operation process of the simulation scenario is planned and designed, and the evaluation methods of the overage, capacity, delay, bit error rate, and other indicators of the LEO constellation system are given. By using the component modeling method on the distributed simulation platform, the entities in the simulation system are modeled, and the visual display of the simulation system is realized through secondary development based on cesium digital earth. The LEO constellation simulation system can provide a verification environment for its construction and a basis for the determination, optimization, and upgrading of technical status.

The binary phase-coded signal is used in inverse synthetic aperture ladar (ISAL) as a commonly used pulse compression signal. However, due to its sensitivity to doppler shift, it will lead to poor or even uncompressible pulse compression results. Combined with the principle of inverse synthetic aperture ladar, the doppler shift introduced by target motion will have a very significant impact, further degrading the imaging results. By using the digital moving target detection (DMTD) method, the doppler information of each distance unit is extracted by performing Fourier transform on the same distance unit, and then a compensation factor is constructed in the frequency domain to compensate for this doppler, correcting the adaptation problem brought by it and improving the imaging result.

Ship detection in synthetic aperture radar (SAR) imagery is an important application in the field of marine remote sensing. As the most common method in ship detection, classical constant false alarm rate (CFAR) methods rely on the target-to-clutter contrast and accurate estimates of distribution models, making it difficult to adapt to complex and variable sea surface backgrounds. Considering the limitations of the CFAR methods, this paper proposes a new detector for ship detection based on matrix information geometry (MIG) theory. The proposed detector models each SAR sample data as a Hermitian positive-definite (HPD) matrix, and uses the geometric mean of all HPD matrices corresponding to the background window to estimate the clutter, thus transforming the target detection problem into a measure of the Kullback-Leibler divergence (KLD) between two points on the matrix manifold. Different from the traditional CFAR detectors which use intensity information to differentiate between targets and clutter, the proposed detector utilizes the intrinsic geometry of the matrix manifold and employs KLD with good differentiation to measure the variance from targets to clutter.

Usually, when solving the magnetic field distribution of a finite-length straight wire in a conducting medium, numerical calculation is required. However, this method has some disadvantages, such as complex calculations and not being conducive to engineering implementation. To solve this problem, this paper studied the attenuation calculation method for the underwater low-frequency magnetic field of the finite-length straight wire and then obtained the analytical calculation formula of magnetic field spatial distribution. The simulation results show that, within a certain distance, the analytical method is in good agreement with the numerical calculation results. The method presented in this paper is convenient for calculation and has good engineering practicability.

The tunnel magnetoresistance sensor (TMR) is the fourth generation of the industrial magnetic sensor, which has the characteristics of low power consumption, high sensitivity, and low- temperature dependence. The portable magnetic detector based on the TMR sensor can effectively pick up the magnetic signal by gradient probes based on TMR sensors. After the magnetic signal is amplified, filtered, and normalized, the magnetic source orientation and amplitude are displayed on the LCD screen. The experiment proves that the portable magnetic detector can effectively detect a magnetic field larger than 100 NT at a distance of 30 cm, and the design meets the experimental requirement. It is of great practical significance to detect the magnetic source in an unshielded indoor environment.

This work treats a typical type of quasilinear system concerning critical Sobolev growth. In the light of the Lions principle and Mountain pass lemma, the mountain pass-type solutions can be derived.

In this paper, an improved whale algorithm to optimize pump power and wavelengths of second-order fiber Raman amplifier (FRA) has been proposed. Adopted by the strategies of adaptive gradients and reverse learning, the normal whale algorithm is greatly improved. An optimized FRA is designed based on the six-wavelength backward pump structure. Compared by optimizing both wavelength and power with optimizing only power, the gain flatness curves of the two algorithms, the optimal combination scheme, and the corresponding noise characteristics are got. A 6-pumped FRA has been designed in which the error of on-off gain is 0.08% and the ripple is only 0.18dB.

Aiming at the problems such as the poor visual effect of infrared thermal imaging under low illumination conditions, an enhanced infrared image recognition method based on wavelet decomposition is proposed for this paper. First, according to wavelet decomposition, the infrared image is divided into a low-frequency sub-band (LFS) and high-frequency sub-band (HFS) in each orientation, and HFS in each orientation is denoised using a modified wavelet threshold function to strengthen the denoising effect of the infrared image; Second, the multi-scale Retinex (MSR) algorithm based on weighted guided filtering (WGIF) is used to evaluate the component of illumination in the basic layer of the LFS, and the WGIF-segmented detail layer images are fused with the MSR processed ones to effectively highlight the texture details of the LFS; Finally, the LFS and the HFS are wavelets reconstructed (WR) to obtain the infrared enhanced images. This paper applies the algorithm to a low-resolution (resolution 32x32 pixels) infrared thermal imaging module, and the results of combining subjective and objective evaluation indexes show that the overall property index of the algorithm in this paper is superior to other contrasting algorithms and can effectively improve the infrared image quality.

Magnetically coupled resonant WPT technology can realize long-distance power transmission, which is currently a research hotspot. However, in practical applications, the position between the receiving and transmitting coils is not fixed, and its transmission power and efficiency are greatly affected by the coupling coefficient, which hinders the application and promotion of magnetic coupling resonance technology. To solve this problem, this paper proposes a magnetically coupled resonant radio energy transmission system based on parity time symmetry, designs the system structure, analyzes and explains its working principle and characteristics in detail, and finally verifies the practicability and rationality of the system through simulation analysis.

This letter proposes a novel wave-transparent and decoupling antenna in broadband dual-Polarized dual-Band shared-aperture array. It is implemented by kneading the double-arrow-stripe-shaped decoupling structure into the frequency-selective metasurface structure of the lower-frequency-band (LFB) antenna arms. The LFB antenna radiator can be considered as frequency-selective and array-decoupling metasurface for the higher-frequency-band (HFB) antennas placed below. The antenna system consists of 2 × 2 HFB (3.3-3.6 GHz)arrays and an LFB (1.65-2.58 GHz) antenna with wave-transparent and decoupled structure (WTDS). Then, without adding additional structure, the in-band isolations of co- and cross-polarized between HFB antennas are promoted to >25.6 dB and >25 dB only by relying on the antenna form of the LFB antenna itself.

With the rapid development of the information age and the continuous expansion of data, all walks of life have begun to collect and analyze massive amounts of data to extract information that is valuable to them. Clustering technology in data mining is an important means of data analysis. Because different data sets have different distribution characteristics, traditional single-object clustering cannot adapt to the effective processing of different data sets, so multi-object clustering has gradually become a research hotspot. The purpose of this paper is the design of log analysis system based on a multi-objective clustering algorithm. This article first determines the main goals of the log analysis system and performs a detailed analysis of the system's demanding functional analysis and demanding non-functionality respectively. The log analysis system is mainly divided into five modules for the detailed design of the log analysis system. After the system design is completed, various functional modules are completed through corresponding technologies, the entire log system is tested for attacks, and the system is further improved. Finally, the system can completely analyze the attack type through log analysis and carry out relevant early warnings to meet the needs of users. When the data set is 1.8MB, the convergence time of the K-medoid algorithm is 3678.49, and the convergence time of the algorithm in this paper is 2536.42. When the data reaches 165MB, the convergence time of the algorithm in this paper is 4326.28, and the convergence time of the K-medoid algorithm is 8184. This shows that as the scale of data continues to increase, the processing time difference changes and the processing speed of this algorithm has obvious advantages.

A method for pilot sequence design with the Zadoff-Chu (ZC) sequence as a base sequence is proposed to address the problem of pilot pollution in massive multi-input multi-output (MIMO) systems. Instead of the odd-length ZC sequence currently in use, the ZC sequence of even length serves as the basis of the pilot. It has the advantage of a very small cross-correlation coefficient under the premise that the sum of cyclic displacement is odd. The results of the four-cell division method are compared between the even-length and odd-length ZC pilot sequences. The MATLAB simulation shows that the signal-to-noise ratio and the channel estimation mean square error of the designed even-length ZC pilot sequence are better than those of the existing odd-length ZC pilot sequence in the case of four-cell division.

Distributed beamforming uses nodes in a wireless sensor network to transmit signals in different phases with controllable delay, to obtain coherent output signals with a gain after superposition. However, a wireless sensor network has a large topological area and wide distribution range, and it is difficult for distributed beamforming to obtain a highly directional beam as centralized beamforming does, which will cause interference to the non-target base stations. To solve this problem, a discrete adaptive dual-population cooperative differential evolution (DPCDE) algorithm is proposed, which can effectively reduce the interference by selecting nodes suitable for participating in distributed beamforming in a wireless sensor network. Simulation results show that the proposed algorithm can optimize the node set participating in distributed beamforming to minimize the interference of the wireless sensor network to the non-target base stations, and the effect is better than other classic intelligent optimization algorithms.

Time synchronization is the guarantee of normal operation of wireless sensor networks, and it is the premise of ranging and location. At present, most researches focus on joint time synchronization and location of non-moving targets, while there are few types of research on joint time synchronization and location of moving targets. Therefore in this paper, under the condition that the time synchronization of the moving target is not carried out, and the information measurement means such as the speed and position of the moving target are not available. We established the system model of joint time synchronization and location with the help of the anchor nodes whose clock has been synchronized and location is known, and derived the Cramer-Rao lower bound (CRLB) of the system. Then we proposed the two-step least square method and iterative method. The former has lower computation and suboptimal performance, while the latter has higher time synchronization accuracy and positioning accuracy, which can attain CRLB. The results are verified by simulation.

In this paper, a Buck converter is designed to make the transmission of WPT stable and not susceptible to load changes. This converter ensures the stability of the load end by changing the duty cycle, so that the WPT always works efficiently. The hardware structure design and program design of the converter are discussed in this paper, and the correctness of the design is verified by the simulation design of PSIM.

Based on the radial Hilbert transform of spatial filtering and electro-optical sampling, we propose a broadband terahertz edge-enhanced imaging method in this work. Instead of using a narrow-band THz vortex phase plate, here we use vortex ultrashort laser pulse to realize the THz enhancement imaging which can be applied for few-cycle THz imaging. The principle of edge enhancement is analyzed theoretically, and the analytical expression of the final terahertz imaging is derived. We found that edge-enhancement imaging corresponds to the nonlinear term of the THz field, and the background and linear terms can be suppressed when the static birefringent phase is set to zero. The simulations show that our method can effectively improve the contrast and signal-to-noise ratio of terahertz imaging.

In the actual bearing-only passive UAV positioning system, both the controller and receiver are in non-standard positions. Three-point positioning cannot be carried out simply by a geometric algorithm. This study introduces positioning only by bearing-only information transmission without considering increasing the complexity of system sensors. When the circular formation and conical formation of UAVs are in abnormal positions to locate the unit and adjust it to the standard position, the error distance between the original position and its accurate position is taken as the target, and an iterative optimization model is established. The positions of other UAVs are revised according to the transmitter position information. Finally, the ideal error position information is obtained, which is regarded as the adjustment of the whole unit distance to the standard distance.

Considering emerging massive machine-type communication with very few devices simultaneously transmitting short messages, random multiple access has currently become a research hot spot since the traditional multiple access protocol struggles to work properly. Inspired by the superimposed code, a channel assignment scheme based on non-adaptive group testing theory is proposed to allow multiple users to share a single channel at the same time. A superimposed code with threshold value d, which can recover the original code through the Boolean sum of up to d codes, is constructed by studying the problem of group testing. When the number of active users with a message to be transmitted is no more than the threshold value, active users encode their messages by the superimposed code and multiple active users transmit their messages together by sharing a single channel. The receiver can decode the mixed messages by the disjunction of the superimposed code. We focus on the design of the superimposed code by group testing theory, formulate this problem as the construction of a transversal design, and use the Latin square to form a useful transversal design. Theoretical proof shows that our design works well under limited circumstances where the number of active users does not exceed the threshold value. Additionally, our design can recover the original codes by the mixture of codes, which are more easily than the algorithms based on compressive sensing. Simulation analysis presents that our design performs better than the traditional competitive access protocols in terms of successful probability, throughput, and packet loss rate.