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89 篇 会议

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检索条件"任意字段=13rd IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2024"

共 89 条记录，以下是1-10 订阅

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2024 ieee 13rd sensor array and multichannel signal processing workshop, sam 2024

2024 IEEE 13rd Sensor Array and Multichannel Signal Processi...

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13rd ieee sensor array and multichannel signal processing workshop, sam 2024

ISBN: (纸本)9798350344813

The proceedings contain 86 papers. The topics discussed include: sparse array and precoding design for integrated sensing and communications systems;geometry-aided near-field MIMO communications via forward-backward beamformer training;a decentralized asynchronous optimization algorithm with an application to phase retrieval;DynaPA: dynamic power allocation for improved exploration-exploitation in active sensing;receiver antenna allocation for joint sensing and communications;labeling sequential data from noisy annotations;calibration of polarimetric antenna arrays using neural networks;variable selection for Max-Affine regression via sparse gradient descent;experimental evaluation of a null-steered performance weighted blended beamformer;and distributed sparse subspace clustering by k-means subspace fusion.

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Subspace Tracking with Dynamical Models on the Grassmannian 13

Subspace Tracking with Dynamical Models on the Grassmannian

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Saad-Falcon, Alex Ancelin, Brighton Romberg, Justin Georgia Inst Technol Dept Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9798350344820;9798350344813

Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of linear subspaces of a high-dimensional vector space. We design regularized least squares algorithms based on common manifold operations and intuitive dynamical models. We demonstrate the efficacy of the approach for a narrowband beamforming scenario, where the dynamics of multiple signals of interest are captured by motion on the Grassmannian.

关键词： signal processing subspace estimation beamforming array processing grassmann manifold

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Identical Partitioning of Consecutive Integer Set 13

Identical Partitioning of Consecutive Integer Set

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Zhang, Yimin D. Sun, Shunqiao Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we develop a scheme to partition a one- or multi-dimensional consecutive integer number set into multiple identical, possibly rotated, subsets. The proposed technique first exploits one-dimensional nested subsets, and the results are extended to achieve two- and multi-subset partitioning as well as in two- and multi-dimensional spaces. The number of consecutive lags in each case is examined. The results are useful to various sensing and communication applications, and sparse step-frequency waveform design for range estimation in automotive radar is demonstrated as an example.

关键词： integer set partition multi-dimensional partition sparse array sparse waveform design automotive radar

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sampling in the Graph signal processing Companion Model 13

Sampling in the Graph Signal Processing Companion Model

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Shi, John Moura, Jose M. F. Carnegie Mellon Univ Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9798350344820;9798350344813

The classic DSP sampling property: "(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain." does not hold in the vertex Graph signal processing (GSP) model. sampling uniformly in GSP does not lead to perfect replicas, but rather distorted replicas [1]. In [2], we introduced a Step 1-Step 2 Companion Model Method, S2CM2, as a way to introduce new GSP concepts. The GSP companion model is closest to the DSP time model (with different boundary conditions), making it easier to extend DSP concepts. In this paper, we consider GSP sampling in the companion model. We show that GSP sampling theory in the companion model is similar to DSP sampling theory by illustrating the four sampling steps: Subsampling, Decimation, Upsampling, Interpolation, in the companion model.

关键词： signal sampling

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Blind Phase-Offset Estimation in Sparse Partly Calibrated arrays 13

Blind Phase-Offset Estimation in Sparse Partly Calibrated Ar...

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Liu, Tianyi Pesavento, Marius Tech Univ Darmstadt Commun Syst Grp Darmstadt Germany

ISBN: (纸本)9798350344820;9798350344813

Spatial frequency estimation from a superposition of impinging waveforms in the presence of noise is important in many applications. While subspace-based methods offer high-resolution parameter estimation at a low computational cost, they heavily rely on precise array calibration with a synchronized clock, posing challenges for large distributed antenna arrays. In this study, we focus on direction-of-arrival (DoA) estimation within sparse partly calibrated rectangular arrays. These arrays consist of multiple perfectly calibrated subarrays with unknown phase-offsets among them. We present a gridless sparse formulation for DoA estimation leveraging the multiple shift-invariance properties in the partly calibrated array. Additionally, an efficient blind calibration technique is proposed based on semidefinite relaxation to estimate the intersubarray phase-offsets accurately.

关键词： DoA estimation sparse arrays thinned arrays joint sparsity partly calibrated arrays shift-invariance blind array calibration

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Frequency-Switching Sparse arrays 13

Frequency-Switching Sparse Arrays

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Zhang, Yimin D. Chowdhury, Md Waqeeb T. S. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we propose high-resolution target direction-of-arrival (DOA) estimation using frequency-switching sparse arrays which implement multi-frequency sparse arrays in a low-complexity manner. Unlike multi-frequency sparse arrays which require processing of wideband signals comprising multiple frequency components, the proposed frequency-switching sparse arrays only need to process a single-frequency component at any time instant, thereby eliminating such hurdles and significantly reducing the system complexity. A frequency-switching sparse array achieves the same number of degrees-of-freedom as a multi-frequency counterpart with comparable DOA estimation performance. Numerical results on the DOA estimation performance and Cramer-Rao bounds are provided to illustrate the effectiveness of the proposed frequency-switching sparse arrays.

关键词： Sparse array direction-of-arrival estimation frequency diversity frequency-switching group sparsity

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An Efficient Optimization Framework for Learning General Signed Graphs from Smooth signals 13

An Efficient Optimization Framework for Learning General Sig...

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Fong, Shi-Yuk So, Anthony Man-Cho Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China Chinese Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Peoples R China

ISBN: (纸本)9798350344820;9798350344813

Graph learning has been widely used in many fields to study the relationships between different entities in a dataset. We present an optimization framework based on the proximal alternating direction method of multipliers (pADMM) for learning general signed graphs from smooth signals. We show that our proposed pADMM enjoys global convergence and a local linear convergence rate. Then, we demonstrate the effectiveness of the proposed framework through numerical experiments on signed graphs. Our proposed framework provides a promising approach for learning general signed graphs from smooth signals and can be a valuable tool for data analysis and decision-making in various fields.

关键词： Signed graph graph learning optimization graph signal processing proximal ADMM time-varying graphs

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Multi-Tier Structured array for Sensing Pilot Design in Integrated Sensing and Communication 13

Multi-Tier Structured Array for Sensing Pilot Design in Inte...

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Ren, Jiaying Tsai, Shawn Mediatek USA Inc Adv Commun Technol Commun Syst Design San Diego CA 92128 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we explore the use of large-scale sparse arrays for pilot placement in pilot-based sensing within integrated sensing and communication (ISAC) systems. Unlike conventional regular pilot placement method, sparse placement offers a significant reduction in overhead while maintaining high sensing performance. We present a novel large-scale sparse array construction method by introducing a multi-tier array structure. Using the proposed method, the design of large-scale sparse arrays can be simplified into several smaller-sized array design problems, significantly reducing computational complexity and storage requirements. Numerical examples demonstrate the effectiveness of the proposed method for low-overhead sensing pilot placement design, which is applicable in future 6G applications.

关键词： Integrated sensing and communication (ISAC) pilot design sparse array design orthogonal frequency division multiplexing (OFDM) 5G new radio 6G

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SPARSE array AND PRECODING DESIGN FOR INTEGRATED SENSING AND COMMUNICATION SYSTEMS 13

SPARSE ARRAY AND PRECODING DESIGN FOR INTEGRATED SENSING AND...

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Sankar, R. S. Prasobh Chepuri, Sundeep Prabhakar Indian Inst Sci Bengaluru Karnataka India

ISBN: (纸本)9798350344820;9798350344813

In this paper, we perform joint antenna selection and transmit pre-coder design for integrated sensing and communication (ISAC) systems to meet signal-to-interference-plus-noise-ratio (SINR) requirements at the users while being capable of identifying, i.e., estimating the direction of arrivals (DoAs), of certain number of sources. We first present a sufficient condition to ensure certain identifiability. Next, through a series of relaxations, we obtain a convex approximation to the combinatorial antenna selection and precoding problem, which we solve using off-the-shelf solvers. The proposed method offers comparable performance to ISAC systems with optimal antenna selection obtained through exhaustive search while significantly out-performing ISAC systems with arbitrarily selected active antennas.

关键词： Antenna selection beamforming integrated sensing and communication MIMO systems sparse arrays

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Direct Position Determination of Locally Scattered Sources Using Generalized array Manifold Model 13

Direct Position Determination of Locally Scattered Sources U...

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13rd ieee sensor array and multichannel signal processing workshop (sam)

作者： Palanivelu, Devanand Palur Oispuu, Marc Koch, Wolfgang Dallmann, Thomas Fraunhofer Inst Commun Informat Proc & Ergon FKIE Wachtberg Germany Tech Univ Ilmenau Radio Technol Automated & Connected Vehicles Res Ilmenau Germany

ISBN: (纸本)9798350344820;9798350344813

Source localization from raw array data by reparameterizing the array steering vector by the source position is a fundamental principle of direct position determination (DPD). In this paper, we propose a DPD method to estimate the position of locally scattered sources using an unsynchronized array sensor network. Here, we use the well-known generalized array manifold (GAM) model which approximates the steering vector using its first-order gradient in order to characterize the local scattering effect. The proposed method is compared with the conventional two-stage bearings-only localization (BOL) approach. Simulation results reveal that the proposed DPD position estimates asymptotically attain the derived Cramier-Rao Bound (CRB) for high SNR values and an improved localization accuracy is achieved by exploiting the local scattering parameters in the localization.

关键词： Direct Position Determination Generalized array Manifold model Cramier-Rao Bound Local Scattering Localization Accuracy

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