Signal Processing最新文献_第2页

Reduced-dimension STAP method for conformal array based on sequential convex programming 基于顺序凸编程的共形阵列降维 STAP 方法

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-11-01 DOI: 10.1016/j.sigpro.2024.109745

Jingxi Shi , Xueqi Yao , Zhihang Wang , Ziyang Cheng , Lei Xie

引用次数: 0

Shaped pattern synthesis for hybrid analog–digital arrays via manifold optimization-enabled block coordinate descent 通过流形优化块坐标下降实现模拟数字混合阵列的异形图案合成

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-31 DOI: 10.1016/j.sigpro.2024.109752

Hongtao Li , Zhoupeng Ding , Shengyao Chen, Qi Feng, Longyao Ran, Zhong Liu

{"title":"Shaped pattern synthesis for hybrid analog–digital arrays via manifold optimization-enabled block coordinate descent","authors":"Hongtao Li , Zhoupeng Ding , Shengyao Chen, Qi Feng, Longyao Ran, Zhong Liu","doi":"10.1016/j.sigpro.2024.109752","DOIUrl":"10.1016/j.sigpro.2024.109752","url":null,"abstract":"<div><div>Hybrid analog–digital (HAD) architecture is a promising means to realize large-scale arrays owing to the judicious trade-off between system performance and hardware complexity. This paper investigates the beampattern shaping of HAD arrays through minimizing the beampattern matching error between desired and actual patterns. Due to the nonconvex constraints on analog and digital weights and the nonconvex nonsmooth objective function, the resultant codesign is NP-hard. To address this issue, we create an efficient algorithm by leveraging block coordinate descent (BCD) and Riemannian manifold optimization. We first equivalently represent the objective function as a smooth bi-quadratic function by introducing a uni-modulus auxiliary variable. Subsequently, we alternatingly optimize the scaling factor, digital weights, analog weights and auxiliary variable under the BCD framework, where the simultaneous update of analog weights and auxiliary variable is recast as uni-modular constrained quadratic programming which is efficiently solved by Riemannian Newton method, and the digital weights have a global optimal solution via Lagrangian multiplier method. We also derive an explicit convergence condition of this algorithm. Numerical results demonstrate that the proposed algorithm has superior performance and faster convergence speed than alternative algorithms, and produces nearly the same mainlobe gain as fully digital arrays with significantly fewer radio-frequency chains.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"228 ","pages":"Article 109752"},"PeriodicalIF":3.4,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A companion matrix-based efficient image encryption method 基于伴生矩阵的高效图像加密方法

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-30 DOI: 10.1016/j.sigpro.2024.109753

Rohit , Shailendra Kumar Tripathi , Bhupendra Gupta , Subir Singh Lamba

{"title":"A companion matrix-based efficient image encryption method","authors":"Rohit , Shailendra Kumar Tripathi , Bhupendra Gupta , Subir Singh Lamba","doi":"10.1016/j.sigpro.2024.109753","DOIUrl":"10.1016/j.sigpro.2024.109753","url":null,"abstract":"<div><div>The increased use of multimedia applications to share digital images has raised concerns about their security during transmission and storage as well. Thus, the need for integrating the chaotic system with compressive sensing became an important and potentially successful method for enhancing the image security. However, in the integration of a single One-dimensional (1-D) chaotic system with compressive sensing, there is a significant drawback that is the limited chaotic behaviour and key space, which makes it vulnerable against brute force and statistical attacks. Hence, enlarging the key space to improve security by using a single One-Dimensional (1-D) chaotic system and making it resilient against brute force attacks still needs to be addressed.</div><div>In this paper, we propose an encryption method that makes use of the notion of a companion matrix and a single One-Dimensional (1-D) chaotic system to enlarge the key space. This method converts the grayscale image into a sparse representation. Thereafter, this sparse matrix is shuffled by applying the Arnold Cat Map, where the parameters for this map are generated through the usage of a One-Dimensional (1-D) Piecewise Linear Chaotic Map. Furthermore, we construct the key matrix by computing the eigenvalues of the companion matrix, and then we diffuse the cipher image to improve the security against statistical attacks.</div><div>Experimental results demonstrate that the proposed method balances the security and image reconstruction quality effectively. The advantage of the proposed method is that even by using a single One-Dimensional (1-D) chaotic system (i.e., faster in implementation), by using the concept of companion matrix, it achieves a significantly larger key space of <span><math><msup><mrow><mn>2</mn></mrow><mrow><mn>400</mn></mrow></msup></math></span> that is larger than the several existing state-of-the-art methods that use hyperchaotic systems.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"228 ","pages":"Article 109753"},"PeriodicalIF":3.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Security in data-driven satellite applications: An overview and new perspectives 数据驱动型卫星应用的安全性：概述和新视角

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-30 DOI: 10.1016/j.sigpro.2024.109755

Qinglei Kong , Jian Liu , Xiaodong Qu , Bo Chen , Haiyong Bao , Lexi Xu

{"title":"Security in data-driven satellite applications: An overview and new perspectives","authors":"Qinglei Kong , Jian Liu , Xiaodong Qu , Bo Chen , Haiyong Bao , Lexi Xu","doi":"10.1016/j.sigpro.2024.109755","DOIUrl":"10.1016/j.sigpro.2024.109755","url":null,"abstract":"<div><div>The worldwide deployment of satellite constellations has received considerable attention in recent years. In this overview paper, we intensively study the security issues in typical data-driven on-orbit applications. First, we identify the security threats in the Global Navigation Satellite System (GNSS) and review a series of anomaly detection and auto-correlation-based methods to resist typical attacks. Second, we show the security issues in satellite communications, which suffer from the dynamic topology and frequent change of access points; meanwhile, we propose a secure mobility management framework concerning handover and location management. Third, we discuss the satellite remote sensing application’s secure on-orbit data processing paradigm. This paradigm achieves secure coordination between multiple tasks with heterogeneous on-orbit resources and secure on-orbit joint computation. As the study of securing satellite applications, especially in securing on-orbit data computation, is limited, our overview paper provides an early overview of this area. It also shows future security research trends in typical applications.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"228 ","pages":"Article 109755"},"PeriodicalIF":3.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-focus image registration based on optical flow tracking and Delaunay triangulation 基于光流跟踪和 Delaunay 三角测量的多焦点图像配准

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-29 DOI: 10.1016/j.sigpro.2024.109763

Xiaohua Xia , Dianbin Yang , Shaobo Huo , Jianhong Sun , Huatao Xiang

引用次数: 0

Bayesian detection for distributed targets in compound Gaussian sea clutter with lognormal texture 对数正态纹理复合高斯海杂波中分布式目标的贝叶斯检测

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-29 DOI: 10.1016/j.sigpro.2024.109751

Hongzhi Guo, Zhihang Wang, Haoqi Wu, Zishu He, Ziyang Cheng

引用次数: 0

Resolving target and image in low altitude scenarios in synthetic impulse and aperture radars 在合成脉冲和孔径雷达的低空场景中分辨目标和图像

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-29 DOI: 10.1016/j.sigpro.2024.109754

M. Pourjoula, M. Karbasi, M.M. Nayebi, M.R. Bagheri

{"title":"Resolving target and image in low altitude scenarios in synthetic impulse and aperture radars","authors":"M. Pourjoula, M. Karbasi, M.M. Nayebi, M.R. Bagheri","doi":"10.1016/j.sigpro.2024.109754","DOIUrl":"10.1016/j.sigpro.2024.109754","url":null,"abstract":"<div><div>Low-angle direction of arrival (DOA) estimation is a challenging issue in array processing systems. When the target’s elevation angle is extremely low, the direct-path signal (a.k.a. target) will combine with its corresponding reflection from the earth (a.k.a. ghost). Sensing systems usually have limited angle resolution capability, so the presence of two closely-spaced signals could lead to low DOA estimation accuracy. This paper aims to address this issue by utilizing a super-resolution method based on the emerging technology of multiple-input multiple-output (MIMO) radar, which offer more degrees of freedom than traditional phased array counterparts. The proposed method specifically focuses on the MIMO configuration of synthetic impulse and aperture radars (SIAR) and involves two key steps. First, the targets are resolved in range, Doppler frequency, and azimuth angle in the matched filtering process. Next, the elevation information of the filtered signal is obtained using compressed sensing (CS) approaches. Our simulation results indicate that the proposed method achieves a higher performance in distinguishing low-angle targets from their corresponding ghosts, compared with traditional methods in terms of root mean squared error (RMSE) criterion.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"228 ","pages":"Article 109754"},"PeriodicalIF":3.4,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PV-LaP: Multi-sensor fusion for 3D Scene Understanding in intelligent transportation systems PV-LaP：多传感器融合促进智能交通系统中的三维场景理解

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-28 DOI: 10.1016/j.sigpro.2024.109749

Wenlong Zhu , Xuexiao Chen , Linmei Jiang

{"title":"PV-LaP: Multi-sensor fusion for 3D Scene Understanding in intelligent transportation systems","authors":"Wenlong Zhu , Xuexiao Chen , Linmei Jiang","doi":"10.1016/j.sigpro.2024.109749","DOIUrl":"10.1016/j.sigpro.2024.109749","url":null,"abstract":"<div><div>Intelligent transportation systems are pivotal in modern urban development, aiming to enhance traffic management efficiency, safety, and sustainability. However, existing 3D Visual Scene Understanding methods often face challenges of robustness and high computational complexity in complex traffic environments. This paper proposes a Multi-Sensor Signal Fusion method based on PV-RCNN and LapDepth (PV-LaP) to improve 3D Visual Scene Understanding. By integrating camera and LiDAR data, the PV-LaP method enhances environmental perception accuracy. Evaluated on the KITTI and WHU-TLS datasets, the PV-LaP framework demonstrated superior performance. On the KITTI dataset, our method achieved an Absolute Relative Error (Abs Rel) of 0.079 and a Root Mean Squared Error (RMSE) of 3.014, outperforming state-of-the-art methods. On the WHU-TLS dataset, the method improved 3D reconstruction precision with a PSNR of 19.15 and an LPIPS of 0.299. Despite its high computational demands, PV-LaP offers significant improvements in accuracy and robustness, providing valuable insights for the future development of intelligent transportation systems.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"227 ","pages":"Article 109749"},"PeriodicalIF":3.4,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed multi-object tracking under limited field of view heterogeneous sensors with density clustering 采用密度聚类的有限视场异构传感器下的分布式多目标跟踪

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-24 DOI: 10.1016/j.sigpro.2024.109703

Fei Chen , Hoa Van Nguyen , Alex S. Leong , Sabita Panicker , Robin Baker , Damith C. Ranasinghe

{"title":"Distributed multi-object tracking under limited field of view heterogeneous sensors with density clustering","authors":"Fei Chen , Hoa Van Nguyen , Alex S. Leong , Sabita Panicker , Robin Baker , Damith C. Ranasinghe","doi":"10.1016/j.sigpro.2024.109703","DOIUrl":"10.1016/j.sigpro.2024.109703","url":null,"abstract":"<div><div>We consider the problem of tracking multiple, unknown, and time-varying numbers of objects using a distributed network of heterogeneous sensors. In an effort to derive a formulation for practical settings, we consider <em>limited</em> and <em>unknown</em> sensor field-of-views (FoVs), sensors with limited local <em>computational resources</em> and <em>communication channel capacity</em>. The resulting distributed multi-object tracking algorithm involves solving an NP-hard multidimensional assignment problem either optimally for small-size problems or sub-optimally for general practical problems. For general problems, we propose an efficient distributed multi-object tracking algorithm that performs track-to-track fusion using a clustering-based analysis of the state space transformed into a density space to mitigate the complexity of the assignment problem. The proposed algorithm can more efficiently group local track estimates for fusion than existing approaches. To ensure we achieve globally consistent identities for tracks across a network of nodes as objects move between FoVs, we develop a graph-based algorithm to achieve label consensus and minimise track segmentation. Numerical experiments with synthetic and real-world trajectory datasets demonstrate that our proposed method is significantly more computationally efficient than state-of-the-art solutions, achieving similar tracking accuracy and bandwidth requirements but with improved label consistency.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"228 ","pages":"Article 109703"},"PeriodicalIF":3.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Incremental Undersampling MRI Acquisition With Neural Self Assessment 增量欠采样磁共振成像采集与神经自我评估

IF 3.4 2区工程技术

Signal Processing Pub Date : 2024-10-23 DOI: 10.1016/j.sigpro.2024.109746

Filippo Martinini , Mauro Mangia , Alex Marchioni , Gianluca Setti , Riccardo Rovatti

{"title":"Incremental Undersampling MRI Acquisition With Neural Self Assessment","authors":"Filippo Martinini , Mauro Mangia , Alex Marchioni , Gianluca Setti , Riccardo Rovatti","doi":"10.1016/j.sigpro.2024.109746","DOIUrl":"10.1016/j.sigpro.2024.109746","url":null,"abstract":"<div><div>Accelerated MRI acquisition is widely adopted and basically consists in undersampling the current slice at the cost of a quality degradation. What samples to skip is determined by an encoder, while the quality loss is partially compensated by the use of a decoder. The hypothesis behind accelerated MRI acquisition is that to higher acceleration factors always correspond lower reconstruction qualities with an undersampling pattern that is usually fixed at design time, neglecting adaptability on the slice acquired at inference time. This paper proposes a novel accelerated MRI acquisition method that enables single-slice adaptation by dividing the acquisition into incremental batches and estimating the reconstruction quality at the end of each batch. The acquisition terminates as soon as the target quality is reached. We demonstrate the efficacy of our novel method using a state-of-the-art neural model capable of jointly optimizing the encoder and decoder. To estimate the current quality of the slice we reconstruct and propose a neural quality predictor. We demonstrate the advantages of our novel acquisition method compared to classic acquisition for two different datasets and for both line-constrained and unconstrained Cartesian sampling strategies (theoretically implementable via 2D and 3D imaging respectively).</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"228 ","pages":"Article 109746"},"PeriodicalIF":3.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0