IEEE Transactions on Signal Processing最新文献_第8页

Zak-OTFS ISAC With Bistatic Sensing via Semi-Blind Atomic Norm Denoising Scheme 基于半盲原子范数去噪的双基地检测Zak-OTFS ISAC

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-08-11 DOI: 10.1109/TSP.2026.3722900

Kecheng Zhang;Weijie Yuan;Maria Sabrina Greco

{"title":"Zak-OTFS ISAC With Bistatic Sensing via Semi-Blind Atomic Norm Denoising Scheme","authors":"Kecheng Zhang;Weijie Yuan;Maria Sabrina Greco","doi":"10.1109/TSP.2026.3722900","DOIUrl":"10.1109/TSP.2026.3722900","url":null,"abstract":"Zak-transform-based orthogonal time frequency space (Zak-OTFS) modulation provides a delay-Doppler (DD) domain framework for integrated sensing and communication (ISAC) in high-mobility scenarios. Since the DD-domain channel response is directly related to the target parameters and also determines the communication link, accurate channel estimation is a key task for ISAC. However, it is challenging due to the fractional delay and Doppler shifts, which spread the channel response beyond the on-grid DD bins and lead to strong coupling between channel estimation and data detection. To address this issue, this paper proposes a semi-blind atomic norm denoising scheme for Zak-OTFS ISAC with bistatic sensing. We first derive the discrete-time input-output (I/O) relationship of Zak-OTFS with rectangular windowing. Based on this I/O relation, the joint channel parameter estimation and data detection problem is formulated as an atomic norm denoising problem, where a negative square penalty is introduced to handle the non-convex discrete constellation constraints. An accelerated iterative algorithm is then developed by combining majorization-minimization, accelerated projected gradient, and inexact accelerated proximal gradient methods. We also establish the convergence of the proposed algorithm. Simulation results show that the proposed scheme achieves super-resolution sensing accuracy and communication performance close to the perfect-CSI lower bound.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"3806-3821"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148728235","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

Multistatic Localization of a Moving Object Aided by Calibration Objects: Analysis and Solutions 基于标定对象的运动目标多静态定位：分析与解决方案

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-08-21 DOI: 10.1109/TSP.2026.3726231

Danyan Lin;Gang Wang;K. C. Ho

{"title":"Multistatic Localization of a Moving Object Aided by Calibration Objects: Analysis and Solutions","authors":"Danyan Lin;Gang Wang;K. C. Ho","doi":"10.1109/TSP.2026.3726231","DOIUrl":"10.1109/TSP.2026.3726231","url":null,"abstract":"It often occurs in multistatic localization systems that the direct paths between an unknown position transmitter and the receivers are absent or blocked. Moreover, the receivers may not be able to time-synchronize with one another. To enable the effective localization of a moving object, we introduce calibration objects to generate additional measurements that can help remove the receiver-dependent synchronization offsets and provide information about the transmitter position. First, we analyze the localizability of the object position and velocity, as well as the transmitter position, in relation to the number of calibration objects. Based on the localizability analysis, we formulate two semidefinite programming problems and develop a closed-form solution, and utilize their combinations to effectively solve the localization problems with different numbers of calibration objects. Additionally, the theoretical mean squared errors (MSEs) of these localization solutions are derived, demonstrating that they can achieve the Cramér-Rao lower bound (CRLB) performance. Finally, simulations validate both the theoretical findings and the good performance of the proposed solutions.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"3837-3853"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148806446","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

Interference-Aware Instantaneous Frequency and Amplitude Estimator for Multicomponent Signals 多分量信号干扰感知瞬时频率和幅值估计

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-08-26 DOI: 10.1109/TSP.2026.3727884

S. Meignen;K. Polisano

引用次数: 0

Channel Estimation and Analog Precoding for Pixel-Based Fluid-Antenna-Assisted Multiuser MIMO-OFDM Systems 基于像素的流体天线辅助多用户MIMO-OFDM系统的信道估计和模拟预编码

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-08-11 DOI: 10.1109/TSP.2026.3721857

Huayan Guo;Jichen Zhang;Junhui Rao;Ross Murch;Vincent K. N. Lau

{"title":"Channel Estimation and Analog Precoding for Pixel-Based Fluid-Antenna-Assisted Multiuser MIMO-OFDM Systems","authors":"Huayan Guo;Jichen Zhang;Junhui Rao;Ross Murch;Vincent K. N. Lau","doi":"10.1109/TSP.2026.3721857","DOIUrl":"10.1109/TSP.2026.3721857","url":null,"abstract":"Pixel-based fluid antennas provide enhanced multiplexing gains and quicker radiation pattern switching than traditional designs. However, this innovation introduces challenges for channel estimation and analog precoding due to the state-non-separable channel response problem. This paper explores a multiuser MIMO-OFDM system utilizing pixel-based fluid antennas, informed by measurements from a real-world prototype. We present a sparse channel recovery framework for uplink channel sounding, employing an approximate separable channel response model with DNN-based antenna radiation functions. We then propose two low-complexity channel estimation algorithms that leverage orthogonal matching pursuit and variational Bayesian inference to accurately recover channel responses across various scattering cluster angles. These estimations enable the prediction of composite channels for all fluid antenna states, leading to an analog precoding scheme that optimally selects switching states for different antennas. Our simulation results indicate that the proposed approach significantly outperforms several baseline methods, especially in high signal-to-noise ratio environments with numerous users.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"3487-3502"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148728230","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

Exactly or Approximately Wasserstein Distributionally Robust Estimation According to Wasserstein Radii Being Small or Large 基于Wasserstein半径大小的精确或近似Wasserstein分布鲁棒估计

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-09-10 DOI: 10.1109/TSP.2026.3728071

Xiao Ding;Enbin Song;Dunbiao Niu;Zhujun Cao;Qingjiang Shi

{"title":"Exactly or Approximately Wasserstein Distributionally Robust Estimation According to Wasserstein Radii Being Small or Large","authors":"Xiao Ding;Enbin Song;Dunbiao Niu;Zhujun Cao;Qingjiang Shi","doi":"10.1109/TSP.2026.3728071","DOIUrl":"10.1109/TSP.2026.3728071","url":null,"abstract":"This paper primarily considers the robust estimation problem under Wasserstein distance constraints on the parameter and noise distributions in the linear measurement model with additive noise, which can be formulated as an infinite-dimensional nonconvex minimax problem. We prove that the existence of a saddle point for this problem is equivalent to that for a finite-dimensional minimax problem, and give a counterexample demonstrating that the saddle point may not exist. Motivated by this observation, we present a verifiable necessary and sufficient condition whose parameters can be derived from a convex problem and its dual. Additionally, we also introduce a simplified sufficient condition, which intuitively indicates that when the Wasserstein radii are small enough, the saddle point always exists. In the absence of the saddle point, we solve a finite-dimensional nonconvex minimax problem, obtained by restricting the estimator to be linear. Its optimal value establishes an upper bound on the robust estimation problem, while its optimal solution yields a robust linear estimator. Numerical experiments are also provided to validate our theoretical results.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"3866-3881"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148922698","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

GraHTP: A Provable Newton-like Algorithm for Sparse Phase Retrieval GraHTP：一个可证明的类牛顿稀疏相位检索算法

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-09-01 DOI: 10.1109/TSP.2026.3729607

Licheng Dai;Xiliang Lu;Juntao You

引用次数: 0

Compressive Toeplitz Covariance Estimation From Few-Bit Quantized Measurements With Applications to DOA Estimation 基于少量量化测量的压缩Toeplitz协方差估计及其在DOA估计中的应用

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-08-26 DOI: 10.1109/TSP.2026.3727446

Hongwei Xu;Weichao Zheng;Zai Yang

{"title":"Compressive Toeplitz Covariance Estimation From Few-Bit Quantized Measurements With Applications to DOA Estimation","authors":"Hongwei Xu;Weichao Zheng;Zai Yang","doi":"10.1109/TSP.2026.3727446","DOIUrl":"10.1109/TSP.2026.3727446","url":null,"abstract":"This paper addresses the problem of estimating the Hermitian Toeplitz covariance matrix under practical hardware constraints of sparse observations and coarse quantization. Within the triangular-dithered quantization framework, we propose an estimator called quantized Toeplitz-projected sample covariance matrix (Q-TSCM) to compensate for the quantization-induced bias, together with its finite-bit counterpart termed the <inline-formula><tex-math>$2k$</tex-math></inline-formula>-bit Toeplitz-projected sample covariance matrix (<inline-formula><tex-math>$2k$</tex-math></inline-formula>-TSCM), obtained by truncating the pre-quantization observations. Under the complex Gaussian assumption, we derive non-asymptotic error bounds of the estimators that reveal a quadratic dependence on the quantization level and capture the effect of sparse sampling patterns through the so-called coverage coefficient. To further improve performance, we propose the quantized sparse and parametric approach (Q-SPA) based on a covariance-fitting criterion, which enforces additionally positive semidefiniteness at the cost of solving a semidefinite program. Numerical experiments are presented that corroborate our theoretical findings and demonstrate the effectiveness of the proposed estimators in the application to direction-of-arrival estimation.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"4033-4047"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148821398","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

Super Coprime Arrays for DOA Estimation DOA估计的超级素数阵列

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-09-15 DOI: 10.1109/TSP.2026.3734136

Xiuwen Wang;Lei Zhao;Yuan Jiang;Yide Wang

引用次数: 0

ARGD-MoS: Adaptive Riemannian Gradient Descent With Mixture-of-Subspaces Modeling for Sonar Small Target Detection 基于混合子空间的自适应黎曼梯度下降模型的声纳小目标检测

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-09-18 DOI: 10.1109/TSP.2026.3735204

Jikun Si;Xiaoyang Yu;Tian Zhou;Chao Xu;Fuchun Sun

{"title":"ARGD-MoS: Adaptive Riemannian Gradient Descent With Mixture-of-Subspaces Modeling for Sonar Small Target Detection","authors":"Jikun Si;Xiaoyang Yu;Tian Zhou;Chao Xu;Fuchun Sun","doi":"10.1109/TSP.2026.3735204","DOIUrl":"10.1109/TSP.2026.3735204","url":null,"abstract":"Detecting weak underwater targets in shallow water is challenging because reverberation is non-Gaussian and time-varying, while background clutter and target echoes are strongly coupled. We propose a robust causal detector based on adaptive Riemannian gradient descent with mixture-of-subspaces modeling. Soft participation weights combine multiple background predictions and weight their Grassmannian updates, thereby coupling mode representation, sparse separation, and online adaptation. Multiple latent subspaces represent heterogeneous reverberation states, coordinate-wise residual scales determine heteroscedastic sparse thresholds, and contamination-aware gain control limits subspace corruption. For the practical nonvanishing-step update, we derive a local mean-square tracking-error bound with a nonzero steady-state floor under a gain-weighted conditional-drift condition. Physics-driven simulations, including near-range strong-reverberation tests, show a favorable balance between detection and false alarms, while matched ablations identify the roles of the three components. Runtime measurements assess online feasibility. Experiments on shallow-water sonar frames further show stronger target-contrast enhancement and background suppression than the compared methods in the evaluated sequences.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"4290-4304"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149009951","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

Stochastic SCA-Based Beamforming for NOMA-Assisted UAVs Backscatter-ISAC With Imperfect CSI 基于随机sca的非完美CSI下noma辅助无人机后向散射isac波束形成

IF 5.5 2区工程技术

IEEE Transactions on Signal Processing Pub Date : 2026-01-01 Epub Date: 2026-09-16 DOI: 10.1109/TSP.2026.3733690

Ziyuan Wang;Xiao-Ping Zhang;Wenbo Ding;Zhenyu Liu;Yuhan Dong

{"title":"Stochastic SCA-Based Beamforming for NOMA-Assisted UAVs Backscatter-ISAC With Imperfect CSI","authors":"Ziyuan Wang;Xiao-Ping Zhang;Wenbo Ding;Zhenyu Liu;Yuhan Dong","doi":"10.1109/TSP.2026.3733690","DOIUrl":"10.1109/TSP.2026.3733690","url":null,"abstract":"In this work, we propose a novel non-orthogonal multiple access (NOMA)-assisted unmanned aerial vehicles (UAVs) integrated sensing and communication (ISAC) scheme under imperfect channel state information (CSI), enabling UAVs to provide communication services to users while meeting sensing requirements via backscatter signals. Due to the limited communication resources of UAVs, NOMA is introduced into the UAVs-ISAC scheme to alleviate internal interference from multiple users. Moreover, unlike current MIMO-supported UAV-ISAC schemes, this scheme accounts for imperfect CSI arising from limited UAV resources and equipment, thereby better aligning with practical applications. To solve the resulting non-convex stochastic optimization problem with hybrid constraints under conditional CSI uncertainty, we design a novel stochastic successive convex approximation (SCA)-based algorithm, called anchor-assisted penalty-based hybrid-constrained stochastic successive convex approximation (APHSSCA). APHSSCA optimizes beamforming with limited samples under stochastic feasibility constraints by using anchor-assisted stochastic updates and a rank-one-promoting penalty. By relying on channel-error samples instead of closed-form expectation evaluation, APHSSCA remains applicable when the expected objective and constraint functions lack tractable analytical forms. Simulation results show that APHSSCA’s optimization performance is superior to that of current baselines and converges faster with fewer samples. We further verify stochastic feasibility, reliable code-domain tag-status detection, and accurate angle-of-arrival sensing under simultaneous tag reflections. With APHSSCA’s support, the proposed scheme achieves an effective trade-off between communication and sensing indicators under imperfect CSI.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"74 ","pages":"4419-4435"},"PeriodicalIF":5.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149009961","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