{"title":"A Linear Method for Extracting the Amplitude of a Sinusoidal Signal","authors":"Wanan Yang, Chaoyang Zhang, Xuke Xia, Changyuan Wang, Chunhua Ren","doi":"10.1049/ell2.70374","DOIUrl":"https://doi.org/10.1049/ell2.70374","url":null,"abstract":"<p>The amplitude extraction of sinusoidal signals is a very important task in many engineering applications; existing extraction methods demonstrate poor performance due to their limited extraction accuracy. This paper presents a method, which does not require a power of two sampling points, for linearly extracting the amplitude of sinusoidal signals and develops a corresponding hardware system. The system can autonomously generate fixed-frequency sinusoidal signals induced through an electromagnetic induction coil, which are subsequently amplified and are sampled by the acquisition card. Additionally, the system features a standard signal input interface, enabling flexible input of sinusoidal signals with different frequencies. Both simulation and real signal sampling data experiments show that it does not require complex iterative calculations and has the advantages of fast speed and high accuracy, and can be used in the scenarios requiring high real-time performance and extraction precision.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70374","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144712124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Extended Target Tracking Algorithm Based on RHM and RMM Fusion","authors":"Guoqing Qi, Zixuan Xu, Yinya Li, Andong Sheng","doi":"10.1049/ell2.70371","DOIUrl":"https://doi.org/10.1049/ell2.70371","url":null,"abstract":"<p>Aiming at the extended target tracking problem with irregular shapes, an extended target tracking algorithm that fuses random hypersurface model (RHM) and random matrix model (RMM) is proposed in the case where the priori shape of the target is unknown. First, the algorithm adopts the RMM method to track the extended target and then takes the reference points on the elliptical shape contour and constructs an ordered sequence. Second, the discrete Fourier transform (DFT) is performed on the sequence to find the coefficients of the harmonic components to obtain the elliptical shape parameters. Then, the ellipsoidal shape parameter is used as the a priori shape parameter of the star-convex RHM. Finally, the effectiveness of the proposed algorithm is verified by simulation experiments. The proposed extended target fusion method provides a more accurate means for precise tracking and state prediction of extended targets.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70371","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144705352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study on Coordinated and Optimal Allocation of Wind Generation and Storage in a Microgrid Based on Power Balancing","authors":"Yiyi Huang, Qingguo Yuan, Ying Pang, Gang Li","doi":"10.1049/ell2.70362","DOIUrl":"https://doi.org/10.1049/ell2.70362","url":null,"abstract":"<p>This letter presents a model for coordinated optimal allocation of wind, solar, and storage in microgrids that can be applied to different generation conditions and is integrated with the Gurobi solver. The model has been developed for the purpose of dispatch optimization under four distinct operating modes: wind, photovoltaic, a hybrid of the two, and energy storage device configuration. Furthermore, the optimal scheduling strategy is one which seeks to minimize costs whilst meeting operational requirements. The system has been designed to eliminate power wastage by incorporating storage solutions of an appropriate size. The experimental results demonstrate a notable reduction in costs when scheduling strategy of the model is employed, as compared to alternative operational modes.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70362","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mehari Meles, Akash Rajasekaran, Reino Virrankoski, Riku Jäntti
{"title":"Nullifying Jammer Effects in RIS-Assisted GNSS-Free Drone Localisation","authors":"Mehari Meles, Akash Rajasekaran, Reino Virrankoski, Riku Jäntti","doi":"10.1049/ell2.70368","DOIUrl":"https://doi.org/10.1049/ell2.70368","url":null,"abstract":"<p>A general challenge in drone localisation and navigation is the strong dependence on satellite positioning. Reconfigurable intelligent surfaces (RIS) offer a promising technology for global navigation satellite system (GNSS)-free drone localisation and for the alleviation of the jammer effect by nulling the jamming signal. In this letter, we investigate how to optimise the nullification of the jammer while maximising the desired signal in a double RIS-aided GNSS-free drone localisation setup. The main objectives of the presented procedure are the maximisation of the desired signal received by the drone, minimisation of the jamming signal effect, accurate estimation of the angle of departure (AOD) from RIS to drone, and drone positioning in 3D. To address this challenge, we propose an alternating projection algorithm to perform jamming nullification by optimising the phase shift at each RIS element. Simulations show that by proper RIS element phase optimisation, the effect of the jammer is efficiently reduced, the AODs from RIS surfaces to drone are computed more accurately, and the drone 3D localisation accuracy is improved.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70368","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144705410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FPGA Implementation of a Chopper Controller in PV Systems for IoT Applications","authors":"Keyvan Barati, Abdolsamad Hamidi","doi":"10.1049/ell2.70364","DOIUrl":"https://doi.org/10.1049/ell2.70364","url":null,"abstract":"<p>This work presents the design and simulation of an Field-Programmable Gate Array (FPGA) based digital controller for a micro-power photovoltaic (PV) energy harvesting system tailored to Internet of Things (IoT) applications. The proposed system features a DC-DC boost converter with an H-bridge topology, designed to interface effectively with low-power PV sources and deliver regulated output to IoT loads. A constant voltage maximum power point tracking (CV-MPPT) algorithm is implemented to maintain optimal energy extraction under variable irradiance. The controller dynamically adjusts the chopping frequency, duty cycle, and output voltage. Leveraging the parallelism and reconfigurability of FPGAs, a high-speed digital control architecture is developed and synthesised on a Cyclone IV FPGA platform. Compared to conventional microcontroller or DSP-based solutions, this approach offers significantly improved response time, power efficiency, and scalability. The final implementation achieves a chip area of 0.92 mm<sup>2</sup>, a control loop delay of 106 ms, and an overall efficiency of 92.36%, demonstrating its advantages over existing designs in terms of compactness, performance, and energy efficiency.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of objects using their natural resonant complex frequencies under low signal-to-noise ratio conditions","authors":"Yonggang Li, Haoyi Zhang, Yongjing Zhou, Weigang Zhu, Suqin Wu","doi":"10.1049/ell2.70152","DOIUrl":"https://doi.org/10.1049/ell2.70152","url":null,"abstract":"<p>Here, a target recognition method of natural resonant complex frequency under low Signal-to-Noise Ratio (SNR) is proposed, mainly to solve the problem that natural resonant frequency is greatly affected by noise while the recognition accuracy is low. This method designs a recognition approach for natural resonant complex frequency by studying the characteristics of natural resonant complex frequency and integrating high-order spectrum analysis. Through theoretical analysis of the feasibility of natural resonant complex frequency bispectral transformation, the introduction of the natural resonance decay factor into target recognition is pioneered, providing a novel processing approach for identifying natural resonant complex frequencies.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Longitudinal and Feedforward Controller Design Based on Linear Matrix Inequalities for a Mini Aerial Vehicle","authors":"Saeedreza Tofighi","doi":"10.1049/ell2.70365","DOIUrl":"https://doi.org/10.1049/ell2.70365","url":null,"abstract":"<p>This paper presents the design of a multi-input multi-output (MIMO) optimal proportional–integral–derivative (PID) controller and a feedforward controller to enhance disturbance rejection and reference tracking in a mini aerial vehicle (MAV). The feedback controller is developed using linear matrix inequality (LMI) constraints within an iterative framework for tuning the PID parameters. In addition, a feedforward control strategy is proposed to further improve performance in reference tracking and disturbance rejection. The feedforward controller is designed under LMI constraints to minimise the H<sub>∞</sub> norm of the transfer function matrix relating disturbances (or set-points) to the output (error). This optimisation problem is challenging due to its non-convex and nonlinear nature. Therefore, the main contribution of this paper is to propose a method based on utilising frequency sampling techniques, iterative algorithms and convex optimisation formulation to guarantee optimal solutions for reference tracking and disturbance rejection within specified constraints, which is crucial for preventing irreversible damage in control systems and also enhances the manoeuvrability of the MAV.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70365","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CFIPC-YOLO for Concealed Object Detection in Millimetre Wave Images","authors":"Huakun Zhang, Lin Guo, Deyue An, Odbal","doi":"10.1049/ell2.70367","DOIUrl":"https://doi.org/10.1049/ell2.70367","url":null,"abstract":"<p>Human body security inspection is a critical task, and most existing methods rely on millimetre-wave images to detect concealed objects. However, detecting small and dim objects remains a significant challenge due to their subtle visual characteristics. To address this issue, this study proposes an efficient model, CFIPC-YOLO (contextual features integrated progressive convergence network based on the YOLOv8), which integrates local and contextual features into a progressively converging framework based on YOLO. Experimental results show that CFIPC-YOLO achieves a 5.3% improvement in AP50 compared to the YOLOv8 baseline, while simultaneously reducing the number of parameters by 17%, confirming the model's superior performance.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70367","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Three-Dimensional Electrical Capacitance Tomography Based on a Novel Planar Array Capacitance Sensor","authors":"Zhiheng Guo, Jiaming Ren","doi":"10.1049/ell2.70340","DOIUrl":"https://doi.org/10.1049/ell2.70340","url":null,"abstract":"<p>The planar electrical capacitance tomography (ECT) is a non-destructive evaluation technology (NDE) for imaging 2D/3D permittivity distribution using capacitance measurements between electrodes on a co-planar surface. At present, the sensitivity field distribution uniformity of the planar array sensor is poor, and the image reconstruction quality in the central region is not high. In this letter, a honeycomb-structured sensor with a central and 60-degree rotational symmetry is proposed to improve the uniformity of the sensitive field and enhance the sensitivity in the central region so as to improve the imaging performance.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70340","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongyang Li, Linyuan Wang, Guangwei Xiong, Jinxian Peng, Dekui Ma, Bin Yan
{"title":"Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack","authors":"Dongyang Li, Linyuan Wang, Guangwei Xiong, Jinxian Peng, Dekui Ma, Bin Yan","doi":"10.1049/ell2.70348","DOIUrl":"https://doi.org/10.1049/ell2.70348","url":null,"abstract":"<p>With the development and application of deep learning in signal detection tasks, the vulnerability of neural networks to adversarial attacks has also become a security threat to signal detection networks. This paper defines a signal adversarial examples generation model for signal detection network from the perspective of adding perturbations to the signal. The model uses the inequality relationship of L2-norm between time domain and time-frequency domain to constrain the energy of signal perturbations. Building upon this model, we propose a method for generating signal adversarial examples utilizing gradient-based attacks and inverse short-time Fourier transform. The experimental results show that under the constraint of signal perturbation energy ratio less than 3<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math>, our adversarial attack resulted in a 34.5<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math> reduction in the mean average precision (mAP), a 31.6<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math> reduction in recall, and a 37.5<span></span><math>\u0000 <semantics>\u0000 <mo>%</mo>\u0000 <annotation>$%$</annotation>\u0000 </semantics></math> reduction in precision of the signal detection network. Compared to random noise perturbation of equivalent intensity, our adversarial attack demonstrates a significant attack effect.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}