Signal Processing最新文献_第3页

Distributed recursive linear fusion estimation for multi-sensor multi-rate systems with non-Gaussian noises 非高斯噪声下多传感器多速率系统的分布式递归线性融合估计

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-02 DOI: 10.1016/j.sigpro.2026.110488

Zehua Sun, Shuli Sun

引用次数: 0

Dual enhancement of low-light image based on single-channel curve estimation 基于单通道曲线估计的弱光图像双增强

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-31 DOI: 10.1016/j.sigpro.2025.110484

Wei Hu, Manli Wang, Changsen Zhang

{"title":"Dual enhancement of low-light image based on single-channel curve estimation","authors":"Wei Hu, Manli Wang, Changsen Zhang","doi":"10.1016/j.sigpro.2025.110484","DOIUrl":"10.1016/j.sigpro.2025.110484","url":null,"abstract":"<div><div>Recently, image enhancement technology based on deep learning has made great progress. However, existing supervised enhancement methods are not universally applicable due to the limitation of paired training sets. The enhanced images have flaws including overexposure, color distortion, and noise amplification. Through mathematical reasoning on the relationship between the Retinex model and two color spaces, this paper proposes a new unsupervised low-light enhancement method, namely a dual enhancement method based on single-channel curve estimation. We define the first-stage enhancing objective as a light curve estimation problem and design an illumination estimation module. New cubic curves and new exposure control losses are designed to avoid overexposed images. In the second-stage enhancement, we reconstruct the enhancement process by designing gradient-guided unsupervised losses to constrain the local perception restoration module, which can jointly solve image degradation problems such as noise and artifacts. Compared with other methods based on the Retinex model, our method does not require complex decomposition and reconstruction, and only requires fewer zero-reference low-light images to complete training. Lastly, we conduct comprehensive experiments to evaluate the results through subjective visual analysis and objective metric evaluation, demonstrating the superior performance of the proposed algorithm.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110484"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927511","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

Simultaneous multiple high-precision beam scheduling for multitarget tracking 多目标同步高精度波束调度

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-01 DOI: 10.1016/j.sigpro.2025.110486

Honghao Guang, Ratnasingham Tharmarasa, Thia Kirubarajan

{"title":"Simultaneous multiple high-precision beam scheduling for multitarget tracking","authors":"Honghao Guang, Ratnasingham Tharmarasa, Thia Kirubarajan","doi":"10.1016/j.sigpro.2025.110486","DOIUrl":"10.1016/j.sigpro.2025.110486","url":null,"abstract":"<div><div>Due to the enhanced beam flexibility and improved tracking performance, the colocated multiple-input multiple-output (MIMO) radar technology has been increasingly adopted in multifunction radar (MFR) systems. The use of narrow beamwidths in high-precision radar systems increases the likelihood of missed illuminations, violating conventional tracking assumptions and challenging existing beam scheduling methods. In order to address the narrow-beam problem, a Gaussian mixture (GM) filtering method is proposed, which refines the target state distribution using the information obtained from missed detections. Based on the proposed filter, a beam steering strategy is introduced to enable rapid target localization. To predict the tracking performance for multitarget tracking (MTT) with narrow beamwidths, the multiple hypothesis posterior Cramér-Rao lower bound (MH-PCRLB) is derived. Taking advantage of the proposed MH-PCRLB, the narrow-beam scheduling problem is formulated as a mathematical optimization. Simulation results demonstrate the superior performance of the proposed filtering method, beam steering strategy and the beam scheduling approach.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110486"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927510","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

Sense -assisted hybrid beamforming based on deep unfolding network for THz UM-MIMO-ISAC system 基于深度展开网络的太赫兹UM-MIMO-ISAC系统传感辅助混合波束形成

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-24 DOI: 10.1016/j.sigpro.2025.110458

Yang Liu , Qiyue Chang , Yuan Xing , Shuhao Zhang , Qintuya Si , Tianshuang Qiu

{"title":"Sense -assisted hybrid beamforming based on deep unfolding network for THz UM-MIMO-ISAC system","authors":"Yang Liu , Qiyue Chang , Yuan Xing , Shuhao Zhang , Qintuya Si , Tianshuang Qiu","doi":"10.1016/j.sigpro.2025.110458","DOIUrl":"10.1016/j.sigpro.2025.110458","url":null,"abstract":"<div><div>Terahertz ultra-massive multiple-input multiple-output integrated sensing and communication (THz UM-MIMO-ISAC) is regarded as a promising enabler for future 6G wireless systems. However, its performance is significantly constrained by severe beam-splitting effects in near-field environments, which undermine beamforming accuracy and decrease spectral efficiency (SE). To address these challenges, this paper proposes a sensing-assisted hybrid beamforming scheme based on a deep unfolding network (DUN) for THz UM-MIMO-ISAC systems. A mixed-field dual-layer true-time-delay (TTD) architecture is designed to jointly model spherical and planar wavefronts, thereby alleviating near-field beam squint and array gain degradation while maintaining low complexity. To further improve beam alignment, echo-sensing signals are initially processed by the rooted multiple signal classification (Root-MUSIC) algorithm for initial angle of arrival (AoA) estimation, followed by a long short-term memory (LSTM) network that refines and predicts the AoA for channel reconstruction. The predicted AoA is subsequently embedded into a DUN-based hybrid beamforming framework, where iterative optimization is unfolded into a trainable structure that jointly designs analog and digital beamforming matrices using unsupervised learning. By leveraging Root-MUSIC for initial estimation, LSTM for temporal prediction, and DUN for adaptive optimization, the proposed method achieves synergy optimization. Simulation results show that the proposed framework achieves higher SE, improved beamforming accuracy and stability, and reduced computational complexity compared with state-of-the-art approaches.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110458"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885933","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

Sudden abnormal heart rate alerting based on MIMO radar quickest change detection 基于MIMO雷达最快变化检测的突发性异常心率预警

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-16 DOI: 10.1016/j.sigpro.2025.110449

Peichao Wang, Qian He

引用次数: 0

A generalized maximum correntropy based constrained affine projection filtering algorithm and its total version 一种基于最大相关熵的广义约束仿射投影滤波算法及其总版本

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 10.1016/j.sigpro.2026.110501

Ji Zhao , Xiaoyi Zhu , Qiang Li , Yi Yu , Guobing Qian , Hongbin Zhang

引用次数: 0

Double low-rank 4D tensor decomposition for circular RIS-aided mmWave MIMO-NOMA system channel estimation in mobility scenarios 基于双低秩四维张量分解的环形ris辅助毫米波MIMO-NOMA系统信道估计

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-28 DOI: 10.1016/j.sigpro.2025.110466

Wanyuan Cai , Youming Li , Menglei Sheng , Mingjun Huang , Qinke Qi , Shunli Hong

{"title":"Double low-rank 4D tensor decomposition for circular RIS-aided mmWave MIMO-NOMA system channel estimation in mobility scenarios","authors":"Wanyuan Cai , Youming Li , Menglei Sheng , Mingjun Huang , Qinke Qi , Shunli Hong","doi":"10.1016/j.sigpro.2025.110466","DOIUrl":"10.1016/j.sigpro.2025.110466","url":null,"abstract":"<div><div>In this paper, we consider a downlink channel estimation problem for circular reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) system in mobility scenarios. First, we propose a subframe partitioning scheme to facilitate the modeling of the received signal as a fourth-order tensor satisfying a canonical polyadic decomposition (CPD) form, thereby formulating the channel estimation problem as tensor decomposition and parameter extraction problems. Then, by exploiting both the global and local low-rank properties of the received signal, we propose a double low-rank 4D tensor decomposition model to decompose the received signal into four factor matrices, which is efficiently solved via alternating direction method of multipliers (ADMM). Subsequently, we propose a two-stage parameter estimation method based on the Jacobi-Anger expansion and the special structure of circular RIS to uniquely decouple the angle parameters. Furthermore, the time delay, Doppler shift, and channel gain parameters can also be estimated without ambiguities, and their estimation accuracy can be efficiently improved, especially at low signal-to-noise ratio (SNR). Finally, a concise closed-form expression for the Cramér-Rao bound (CRB) is derived as a performance benchmark. Numerical experiments are conducted to demonstrate the effectiveness of the proposed method compared with the other discussed methods.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110466"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885927","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 method for retinal inspired foveated image reconstruction 一种视网膜启发注视点图像重建方法

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-19 DOI: 10.1016/j.sigpro.2025.110459

Haoming Xiang, Xiaohua Xia, Haiyun Tan, Zhiwei Duan

{"title":"A method for retinal inspired foveated image reconstruction","authors":"Haoming Xiang, Xiaohua Xia, Haiyun Tan, Zhiwei Duan","doi":"10.1016/j.sigpro.2025.110459","DOIUrl":"10.1016/j.sigpro.2025.110459","url":null,"abstract":"<div><div>The foveal mechanism of the human retina produces sharp central vision with a blurred periphery. By generating foveated images that more closely replicate this mechanism, it is possible to significantly enhance immersion and deliver a more natural visual experience in virtual environments and related applications. In this paper, we proposed a two-stage foveated image reconstruction method to simulate a biologically plausible foveated retina. In the first stage, a monocular humanoid field of view (FOV) model is designed based on the mapping relationship between the human retina and the camera sensor, enabling the capture of images with a human-like FOV using a commonly available uniform-pixel camera. During the second stage, a non-uniform pixel sampling approach is presented to approximate the spatial distribution of photoreceptors across the retina, combined with biharmonic spline-based interpolation for natural-looking resampling. Qualitative and quantitative results demonstrate that the foveated images generated by the proposed method exhibit better consistency with human visual perception than existing representative methods.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110459"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145802318","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 weighted coherent integration method for weak target detection based on active-passive radar 一种基于主-被动雷达的弱目标检测加权相干积分方法

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-07 DOI: 10.1016/j.sigpro.2026.110495

Boyang Jia , Jianwei Zhao , Yaxing Yue , Xuepan Zhang , Jiayi Zhao , Sining Liu , Guisheng Liao

引用次数: 0

Enhanced KalmanNet for accurate data fusion 增强KalmanNet，实现准确的数据融合

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-19 DOI: 10.1016/j.sigpro.2025.110457

Zipeng Li , Yafeng Guo , Jun Wang

引用次数: 0