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IEEE Signal Processing Society Information 电气和电子工程师学会信号处理学会信息
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-11-05 DOI: 10.1109/JSTSP.2024.3459324
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引用次数: 0
IEEE Signal Processing Society Information 电气和电子工程师学会信号处理学会信息
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-11-05 DOI: 10.1109/JSTSP.2024.3459322
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引用次数: 0
Introduction to the Special Issue Near-Field Signal Processing: Algorithms, Implementations and Applications 近场信号处理》特刊简介:算法、实现与应用
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-11-05 DOI: 10.1109/JSTSP.2024.3465108
Ahmet M. Elbir;Kumar Vijay Mishra;Özlem Tuğfe Demir;Emil Björnson;Angel Lozano
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引用次数: 0
Holographic Localization With Synthetic Reconfigurable Intelligent Surfaces 利用合成可重构智能表面进行全息定位
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-10-23 DOI: 10.1109/JSTSP.2024.3435465
Ziyi Wang;Zhenyu Liu;Yuan Shen;Andrea Conti;Moe Z. Win
Reconfigurable intelligent surfaces (RISs) are proposed to control complex wireless environments in next-generation networks. In particular, wideband RISs can play a key role in high-accuracy location awareness, which calls for models that consider the frequency-selectivity of metasurfaces. This paper presents a general signal model for wideband systems with RISs and establishes a Fisher information analysis to determine the theoretical limits of wideband localization with RISs. In addition, synthetic RISs are proposed to mitigate the multiplicative fading effect caused by the scattering property of RISs. Special scenarios including complete coupling and complete decoupling are further investigated. Results show that with the proposed models, a wideband RIS with a polynomial phase response per element provides more position information than those with more degrees of freedom (DOFs) in piecewise-constant phase response per element. Furthermore, velocity-induced information allows a dynamic RIS to provide more position information than a static RIS. Additionally, a dynamic RIS can be synthesized through multiple measurements to outperform a large one.
可重构智能表面(RIS)被提议用于控制下一代网络中复杂的无线环境。特别是,宽带 RIS 可在高精度位置感知中发挥关键作用,这就需要考虑元表面频率选择性的模型。本文介绍了带有 RIS 的宽带系统的一般信号模型,并建立了费雪信息分析方法,以确定带有 RIS 的宽带定位的理论极限。此外,还提出了合成 RIS,以减轻 RIS 散射特性引起的乘法衰减效应。还进一步研究了完全耦合和完全解耦等特殊情况。结果表明,与自由度(DOFs)较多、相位响应片断恒定的宽带 RIS 相比,采用所提模型的宽带 RIS 每个元素的相位响应为多项式,能提供更多的位置信息。此外,与静态 RIS 相比,速度诱导信息可使动态 RIS 提供更多位置信息。此外,动态 RIS 可以通过多次测量进行合成,从而优于大型 RIS。
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引用次数: 0
IEEE Signal Processing Society Information 电气和电子工程师学会信号处理学会信息
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-04 DOI: 10.1109/JSTSP.2024.3424083
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引用次数: 0
IEEE Signal Processing Society Information 电气和电子工程师学会信号处理学会信息
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-04 DOI: 10.1109/JSTSP.2024.3424079
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引用次数: 0
Editorial Introduction for the Special Issue on Intelligent Robotics: Sensing, Signal Processing and Interaction 智能机器人特刊编辑导言:传感、信号处理与交互
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-09-04 DOI: 10.1109/JSTSP.2024.3445048
Wenbo Ding
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引用次数: 0
NeaSource Localization and Beamforming in the Spherical Sector Harmonics Domain 球面扇形谐波域中的 NeaSource 定位和波束成形
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-15 DOI: 10.1109/JSTSP.2024.3442469
Shekhar Kumar Yadav;S. R. M. Prasanna;Nithin V. George
Three-dimensional arrays can localize sources anywhere in the spatial domain without any ambiguity. Among these arrays, the spherical microphone array (SMA) has gained widespread usage in acoustic source localization and beamforming. However, SMAs are bulky, making them undesirable in applications with space and power constraints. To deal with this issue, arrays with microphones placed only in a sector of a sphere have been developed along with various techniques for localizing far-field sources in the spherical sector harmonics (S2H) domain. This work addresses near-field acoustic localization and beamforming using a spherical sector microphone array. We first introduce a representation of spherical waves from a near-field point source in the S2H domain using the orthonormal S2H basis functions. Then, using the representation, we develop an array model for when a spherical sector array is placed in a wavefield created by multiple near-field sources in the S2H domain. We highlight the advantages of the developed array model over the baseline near-field spatial domain array model. Using the developed array model, two algorithms are proposed for the joint estimation of the range, elevation and azimuth locations of near-field sources, namely NF-S2H-MUSIC and NF-S2H-MVDR. Further, a near-field beamforming algorithm capable of radial and angular filtering in the S2H domain is also presented. Finally, we present the Cramer-Rao Bound (CRB) for range, elevation and azimuth estimation in the S2H domain for near-field sources. The performances of the proposed algorithms are assessed using extensive near-field localization and beamforming simulations and an experiment.
三维阵列可以在空间域的任何地方定位声源,不会产生任何模糊。在这些阵列中,球形麦克风阵列(SMA)已在声源定位和波束成形中得到广泛应用。然而,球形麦克风阵列体积庞大,在空间和功率有限的应用中并不理想。为了解决这个问题,人们开发了只在球面的一个扇形区域放置麦克风的阵列,以及各种球面扇形谐波(S2H)域远场声源定位技术。本研究利用球面扇形麦克风阵列进行近场声学定位和波束成形。我们首先使用正交 S2H 基函数介绍了 S2H 域中来自近场点声源的球面波的表示方法。然后,利用该表示法,我们开发了一个阵列模型,用于将球面扇形阵列置于 S2H 域中由多个近场源产生的波场中。与基线近场空间域阵列模型相比,我们强调了所开发的阵列模型的优势。利用所开发的阵列模型,我们提出了两种联合估计近场源的射程、仰角和方位角位置的算法,即 NF-S2H-MUSIC 和 NF-S2H-MVDR。此外,我们还介绍了一种能够在 S2H 域中进行径向和角度滤波的近场波束成形算法。最后,我们介绍了在 S2H 域中对近场源进行测距、仰角和方位角估计的 Cramer-Rao 约束 (CRB)。通过大量的近场定位和波束成形模拟以及实验,对所提算法的性能进行了评估。
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引用次数: 0
Reinforcement Learning Based Tactile Sensing for Active Point Cloud Acquisition, Recognition and Localization 基于强化学习的触觉传感用于主动点云采集、识别和定位
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-22 DOI: 10.1109/JSTSP.2024.3431203
Kevin Riou;Kaiwen Dong;Kevin Subrin;Patrick Le Callet
Traditional passive point cloud acquisition systems, such as lidars or stereo cameras, can be impractical in real-life and industrial use cases. Firstly, some extreme environments may preclude the use of these sensors. Secondly, they capture information from the entire scene instead of focusing on areas relevant to the end task, such as object recognition and localization. In contrast, we propose to train a Reinforcement Learning (RL) agent with dual objectives: i) control a robot equipped with a tactile (or laser) sensor to iteratively collect a few relevant points from the scene, and ii) recognize and localize objects from the sparse point cloud which has been collected. The iterative point sampling strategy, referred to as an active sampling strategy, is jointly trained with the classifier and the pose estimator to ensure efficient exploration that focuses on areas relevant to the recognition task. To achive these two objectives, we introduce three RL reward terms: classification, exploration, and pose estimation rewards. These rewards serve the purpose of offering guidance and supervision in their respective domain, allowing us to delve into their individual impacts and contributions. We compare the proposed framework to both active sampling strategies and passive hard-coded sampling strategies coupled with state-of-the-art point cloud classifiers. Furthermore, we evaluate our framework in realistic scenarios, considering realistic and similar objects, as well as accounting for uncertainty in the object's position in the workspace.
传统的被动点云采集系统,如激光雷达或立体摄像机,在现实生活和工业应用案例中可能并不实用。首先,在某些极端环境中可能无法使用这些传感器。其次,它们捕捉的是整个场景的信息,而不是与最终任务(如物体识别和定位)相关的区域。相比之下,我们建议训练一个具有双重目标的强化学习(RL)代理:i) 控制一个装有触觉(或激光)传感器的机器人,从场景中反复收集一些相关点;ii) 从收集到的稀疏点云中识别和定位物体。迭代点采样策略被称为主动采样策略,它与分类器和姿态估计器共同训练,以确保高效地探索与识别任务相关的区域。为了实现这两个目标,我们引入了三个 RL 奖励项:分类、探索和姿势估计奖励。这些奖励的目的是在各自的领域提供指导和监督,使我们能够深入研究它们各自的影响和贡献。我们将提议的框架与主动采样策略和被动硬编码采样策略以及最先进的点云分类器进行了比较。此外,我们还在现实场景中评估了我们的框架,考虑了现实和类似的物体,并考虑了物体在工作空间中位置的不确定性。
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引用次数: 0
Beam-Delay Domain Channel Estimation for mmWave XL-MIMO Systems 毫米波 XL-MIMO 系统的波束-延迟域信道估计
IF 8.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-07-22 DOI: 10.1109/JSTSP.2024.3431919
Hongwei Hou;Xuan He;Tianhao Fang;Xinping Yi;Wenjin Wang;Shi Jin
This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the beam-delay domain, taking into account the near-field and beam-squint effects due to the transmission bandwidth and array aperture growth. Specifically, we model spatial-frequency domain channels in the beam-delay domain to explore inter-antenna and inter-subcarrier correlations. Within this model, the frequency-dependent hybrid-field beam domain steering vectors are introduced to describe the near-field and beam-squint effects. The independent and non-identically distributed Bernoulli-Gaussian models with unknown prior hyperparameters are employed to capture the sparsity in the beam-delay domain, posing a challenge for channel estimation. Under the constrained Bethe free energy minimization framework, we design different structures and constraints on trial beliefs to develop hybrid message passing (HMP) algorithms, thus achieving efficient joint estimation of beam-delay domain channel and prior hyperparameters. To further improve the model accuracy, the multidimensional grid point perturbation (MDGPP)-based representation is presented, which assigns individual perturbation parameters to each multidimensional discrete grid. By treating the MDGPP parameters as unknown hyperparameters, we propose the two-stage HMP algorithm for MDGPP-based channel estimation, where the output of the initial stage is pruned for the refinement stage to reduce the computational complexity. Numerical simulations demonstrate the significant superiority of the proposed algorithm over benchmarks with both near-field and beam-squint effects.
本文研究了毫米波(mmWave)超大规模多输入多输出(XL-MIMO)通信系统在波束延迟域中的上行链路信道估计,同时考虑到了传输带宽和阵列孔径增长带来的近场和波束斜效应。具体来说,我们在波束延迟域中建立空间-频率域信道模型,以探索天线间和子载波间的相关性。在这一模型中,引入了频率相关的混合场波束域转向矢量,以描述近场和波束斜效应。采用具有未知先验超参数的独立非同分布伯努利-高斯模型来捕捉波束延迟域的稀疏性,这对信道估计提出了挑战。在受约束贝特自由能最小化框架下,我们设计了不同的试验信念结构和约束条件,开发了混合信息传递(HMP)算法,从而实现了对波束延迟域信道和先验超参数的高效联合估计。为了进一步提高模型精度,本文提出了基于多维网格点扰动(MDGPP)的表示方法,即为每个多维离散网格分配单独的扰动参数。通过将 MDGPP 参数视为未知超参数,我们为基于 MDGPP 的信道估计提出了两阶段 HMP 算法,其中初始阶段的输出被剪枝用于细化阶段,以降低计算复杂度。数值模拟证明,与具有近场效应和波束斜效应的基准相比,所提出的算法具有明显优势。
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IEEE Journal of Selected Topics in Signal Processing
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