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检索条件"任意字段=Sensor Array and Multichannel Signal Processing Workshop"

共 2593 条记录，以下是241-250 订阅

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DECENTRALIZED DATA processing AND MANAGEMENT IN SMART GRID VIA GOSSIPING

DECENTRALIZED DATA PROCESSING AND MANAGEMENT IN SMART GRID V...

引用

IEEE 7th sensor array and multichannel signal processing workshop (SAM)

作者： Li, Xiao Wang, Zhifang Scaglione, Anna Univ Calif Davis Dept Elect & Comp Engn Davis CA 95616 USA

ISBN: (纸本)9781467310710

In this paper, we propose a model for a peer-to-peer database system architecture where each server is aware of the power system state vector, and that can provide a scalable architecture for the Smart Grid. The key new component is a decentralized gossip-based state estimation (G-SE) algorithm included as a stored database procedure, which constantly updates via network diffusion, the global state information vector in each server of the distributed database system (DDBS). In addition to provide global situation awareness, state aware DDBS can attain communication and storage efficiency first, by using the temporal and spatial correlation of the state to compress it and, second, by storing the state as side information to store measurement residuals. Thanks to the G-SE primitive DDBS are more resilient to network attaks, can reduce network usage and streamline query processing for Smart Grid applications.

关键词： Distributed database system (DDBS) smart grid

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sensor Network Distributed Computation for Direct Position Determination

Sensor Network Distributed Computation for Direct Position D...

引用

IEEE 7th sensor array and multichannel signal processing workshop (SAM)

作者： Pourhomayoun, Mohammad Fowler, Mark L. SUNY Binghamton Dept Elect & Comp Engn Binghamton NY 13902 USA

ISBN: (纸本)9781467310710

Classical localization systems based on TDOA/FDOA use a two-stage estimation approach. In the first stage, pairs of sensors share data to estimate TDOA/FDOA. Then, the extracted TDOA/FDOA measurements are used to estimate the emitter location. In some recently published methods, an optimal single-stage approach named Direct Position Determination (DPD) has been proposed to improve the position estimation accuracy. However, unlike the classical two-stage method where the TDOA/FDOA estimation can be distributed across all sensors, DPD processes all the received signals together at a single sensor node. However, when sensors have limited computational capabilities it is desirable to distribute the computation across all sensors. Furthermore, concentrating all the processing into a single node makes the location system less robust to the loss of sensors. In this paper, we develop a distributed localization method with the goal of reducing the computational load on each sensor and increasing the reliability of the system.

关键词： Time difference of arrival

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A retina-like CMOS sensor and its applications

A retina-like CMOS sensor and its applications

引用

1st IEEE sensor array and multichannel signal processing workshop (SAM 2000)

作者： Sandini, G Questa, P Scheffer, D Dierickx, B Mannucci, A Univ Genoa LIRA Lab DIST Genoa Italy

ISBN: (纸本)0780363396

This paper describes the implementation in silicon of a retina-like sensor characterized by a space-variant resolution similar to that of the human retina. Besides the actual implementation using CMOS technology, the design peculiarities of retina-like sensors are compared with the use of software or hardware electronic remappers. The paper also describes the realization of a retina-like digital camera and its applications for realtime control and image transmission.

关键词： Application software CMOS image sensors CMOS technology Digital cameras Hardware Humans Retina sensor phenomena and characterization Silicon Space technology

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Frequency-Switching Sparse arrays 13

Frequency-Switching Sparse Arrays

引用

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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Over-The-Air Identification of Coupled Nonlinear Distortion in a MIMO Radar 12

Over-The-Air Identification of Coupled Nonlinear Distortion ...

引用

IEEE 12th sensor array and multichannel signal processing workshop (SAM)

作者： Kylin, Carl Eriksson, Thomas Silander, Anders McKelvey, Tomas Chalmers Univ Technol Dept Elect Engn Gothenburg Sweden Saab AB Radar Solut Gothenburg Sweden

ISBN: (纸本)9781665406338

Compensation for nonlinear distortion caused by power amplifiers being driven into compression is a field that has been extensively explored by a number of authors. More complex models describing the coupled nonlinear distortion that can occur in an active antenna array also exist. To identify these models most authors assume that the output of each power amplifier can be measured directly. For a system with many antennas over-theair identification might be favorable. The problem of identifying a system describing the joint effects of coupled nonlinear distortion over-the-air has been solved by other authors assuming model or setup simplifications. To tackle the problem with a more accurate model, an algorithm for identifying parameters of a Volterra series model describing coupled non-linear distortion in a digital radar is explored and illustrated with simulated data.

关键词： Power measurement MIMO radar Nonlinear distortion Power amplifiers signal processing algorithms Radar Data models

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Tensor-Based Angle Estimation with Coprime MIMO Radar 11

Tensor-Based Angle Estimation with Coprime MIMO Radar

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IEEE 11th sensor array and multichannel signal processing workshop (SAM)

作者： Shi, Junpeng Wu, Dongming Li, Zhihui Wen, Fangqing Natl Univ Def Technol Dept Early Warning Surveillance Hefei Peoples R China Yangtze Univ Elect & Informat Sch Jingzhou Peoples R China

ISBN: (纸本)9781728119465

In this paper, we propose an optimized tensor model for direction of departure (DOD) and direction of arrival (DOA) estimation with coprime multiple input multiple output (MIMO) radar. We first develop the Toeplitz matrix using the consecutive lags in the sum-difference coarray after vectorizing the array covariance matrix. We then construct a generalized three-way tensor model and derive the optimized tensor by maximizing the number of targets. Then, the existing COMFAC technique is exploited for angle estimation. We show that the proposed method can identify more targets and achieve better performance by enforcing the three-way structure as compared to the subspace-based algorithms. Numerical simulations are provided to validate the theoretical analysis.

关键词： MIMO radar tensor decomposition angle estimation coprime array

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Blind Phase-Offset Estimation in Sparse Partly Calibrated arrays 13

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

引用

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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A DEEP REINFORCEMENT LEARNING APPROACH FOR INTEGRATED AUTOMOTIVE RADAR SENSING AND COMMUNICATION 12

A DEEP REINFORCEMENT LEARNING APPROACH FOR INTEGRATED AUTOMO...

引用

IEEE 12th sensor array and multichannel signal processing workshop (SAM)

作者： Xu, Lifan Zheng, Ruxin Sun, Shunqiao Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9781665406338

We present a deep reinforcement learning approach to design an automotive radar system with integrated sensing and communication. In the proposed system, sparse transmit arrays with quantized phase shifter are used to carry out transmit beamforming to enhance the performance of both radar sensing and communication. Through interaction with environment, the automotive radar learns a reward that reflects the difference between mainlobe peak and the peak sidelobe level in radar sensing mode or communication user feedback in communication mode, and intelligently adjust its beamforming vector. The Wolpertinger policy based actioncritic network is introduced for beamforming vector learning, which solves the dimension curse due to huge beamforming action space.

关键词： Deep reinforcement learning integrated sensing and communication (ISAC) automotive radar sparse array beamforming

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DOA Estimation of Quasi-Stationary signals With a Nested array in Unknown Noise Field 10

DOA Estimation of Quasi-Stationary Signals With a Nested Arr...

引用

10th IEEE sensor array and multichannel signal processing workshop (SAM)

作者： Huang, Huiping Liao, Bin Shen, Qiuxiang Shenzhen Univ Coll Informat Engn Shenzhen 518060 Guangdong Peoples R China

ISBN: (纸本)9781538647523

The problem of direction-of-arrival (DOA) estimation of quasi-stationary signals using a nested array in unknown noise field is investigated and two methods based on differencing method and eigenspace are proposed in this paper. Through performing differencing between the virtual received data, the unknown noise component is directly removed from the data model. The resulting data model is then utilized to find out the DOAs of the signals based on the theory of subspace. Thanks to the configuration of the nested array, it can produce large degrees of freedom (DOF) in the virtual sensor array which provides the virtual received data. These increased DOF can contribute enhanced resolution in DOA estimation. Numerical simulations of DOA estimation exhibit the effectiveness and superiority of the proposed methods.

关键词： DOA estimation quasi-stationary signals nested array unknown noise field differencing method

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Microphone array speech enhancement by Bayesian estimation of spectral amplitude and phase

Microphone array speech enhancement by Bayesian estimation o...

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2nd IEEE sensor array and multichannel signal processing workshop

作者： Balan, R Rosca, J Siemens Corp Res Multimedia & Video Technol Dept Princeton NJ 08540 USA

ISBN: (纸本)0780375513

Microphone arrays provide new opportunities for noise reduction and speech enhancement. This paper presents a novel decomposition of the estimation problems for short-time spectral amplitude (STSA), log STSA, and phase in the Bayesian estimation framework. The decomposition is based on the notion of sufficient statistics for the microphone array case. It nicely generalizes the well-known single-channel Ephraim-Malah estimators [4, 5] to the microphone array case. We also compare noise reduction obtained in the single channel with the two- and four-channel cases on real data.

关键词： Speech enhancement

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