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检索条件"任意字段=2008 IEEE Sensor Array and Multichannel Signal Processing Workshop"

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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...

引用

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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Tensor-Based Angle Estimation with Coprime MIMO Radar 11

Tensor-Based Angle Estimation with Coprime MIMO Radar

引用

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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Single snapshot spatial processing: Optimized and constrained

Single snapshot spatial processing: Optimized and constraine...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Bethel, R Shapo, B Van Trees, H Mitre Corp Reston VA USA

ISBN: (纸本)0780375513

We introduce Spatial processing: Optimized and Constrained (SPOC) as a new front-end display processing method that operates on array sensor data as an alternative to conventional or adaptive beamforming. The output of our approach is computed on a single-snapshot basis so that no stationarity assumptions are required. We use a maximum a posteriori approach to develop a constrained optimization solution. A parametric representation provides the framework for the presented solution. Some degrees of freedom are fixed by the constraint, and the rest remain free to optimize the cost function. We develop an iterative solution in terms of the free parameters. This method provides significantly improved resolution over conventional beamforming. Two simulated cases demonstrate algorithm performance.

关键词： Cost functions

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Direction of Arrival Estimation Using Nested Vector-sensor arrays Via Tensor Modeling

Direction of Arrival Estimation Using Nested Vector-Sensor A...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Han, Keyong Nehorai, Arye Washington Univ Preston M Green Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781479914814

We propose a new class of nested vector-sensor arrays, via tensor modeling, which is capable of increasing the number of degrees of freedom (DOFs) for direction-of-arrival (DOA) estimation, compared with the uniform linear array (ULA). By using one component's information of the interspectral tensor, the proposed nested vector-sensor array can provide O(N-2) DOFs with only N physical sensors. To utilize the increased DOFs, a novel spatial smoothing approach is proposed, which preserves the data structure and avoids reorganization via tensor modeling. Further, we propose corresponding direction of arrival (DOA) estimation strategies. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. We show that the DOA estimation performance is greatly improved due to the combination of the nested-array strategy and tensor modeling. The effectiveness of the proposed methods is verified through numerical examples.

关键词： Direction of arrival estimation nested array electromagnetic vector sensors acoustic vector sensors tensor

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LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPLE EXTENDED OBJECT TRACKING 10

LINEAR-TIME JOINT PROBABILISTIC DATA ASSOCIATION FOR MULTIPL...

引用

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

作者： Yang, Shishan Thormann, Kolja Baum, Marcus Univ Passau Fac Comp Sci & Math Chair Sensor Technol Passau Germany

ISBN: (纸本)9781538647523

The Joint Probabilistic Data Association (JPDA) filter for multiple object tracking is based on the assumption that at most one measurement originates from a target object. However, with the development of high-resolution sensors, it is often the case that multiple spatially distributed detections are obtained from a single object. To tackle this emerging data association challenge, this paper presents a JPDA method based on the Poisson spatial measurement model for extended objects. As the constraint that one target gets at most one measurement is relaxed, the marginal association probabilities can be obtained with linear complexity in the number of measurements and targets. The proposed method is compared to a partition-based multiple extended object tracking algorithm.

关键词： Shape Object tracking Clutter Target tracking Probabilistic logic Shape measurement Time measurement"

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Performance Evaluation of Bluetooth in a Wireless Body Area Network for Practical Applications 11

Performance Evaluation of Bluetooth in a Wireless Body Area ...

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

作者： Reich, Olaf Hubner, Erik Ghita, Bogdan Wagner, Matthias Schafer, Jorg Frankfurt Univ Appl Sci Dept Comp & Engn Sci Frankfurt Germany Univ Plymouth Plymouth Devon England

ISBN: (纸本)9781728119465

This work focuses on practical research in the field of Bluetooth 5.0 and the maximum number of Bluetooth sensors nodes in a wireless body area network (WBAN) for human activity recognition (HAR). As network topology M:1 multi-pairing is used. For the best of our knowledge no direct related work in this field can be found. We investigated how many Bluetooth connections can be simultaneously connected with different smartphones (iOS) with real sensor data and in which time intervals the data can still be processed and stored. Our results show that a maximum of 14 Bluetooth devices can be connected under practical conditions. A stable transmission with 48 bytes per package are found with most reliability in an minimal interval of 40 ms per node.

关键词： Bluetooth Internet of Things (IoT) performance-evaluation wireless body area network (WBAN) Special Interest Group (SIG) NINA sensor networks

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Distributed Binary Geometric sensor arrays for Low-Data-Throughput Human Gait Biometrics

Distributed Binary Geometric Sensor Arrays for Low-Data-Thro...

引用

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

作者： Yue, Tianyao Hao, Qi Brady, David J. Duke Univ Dept Elect & Comp Engn Box 90291 Durham NC 27708 USA Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9781467310710

We present a novel sensing paradigm of measuring human gait. The goal of the research is to achieve low-cost gait biometrics systems with minimum data throughput for various sensing modalities. The binary measurements of the system are achieved by using both (1) periodic and (2) pseudo-random sampling structures. As a result, either static or dynamic gait features can be estimated from a one-bit data stream. The simulation results demonstrate the gait information acquisition capability of the proposed binary sensing technology.

关键词： Biometrics

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Interferometric array Design Under Regularized Antenna Placements for Interference Suppression 10

Interferometric Array Design Under Regularized Antenna Place...

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

作者： Wang, Xiangrong Amin, Moeness Aboutanios, Elias Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Univ New South Wales Sch Elect Engn Sydney NSW Australia

ISBN: (纸本)9781538647523

Interference suppression is an important task in extensive sensor array applications, including large interferometric arrays in radio astronomy. The interferometric array design in terms of maximizing output signal-to-interference-plus-noise ratio (MaxSINR) calls for freely placing antennas on grid points without imposing any regularity conditions on the array structure. The configured sparse array exhibits multiple drawbacks, most notably, uncontrollable beampatterns with high sidelobes. To overcome these shortcomings, we add conventional beampattern sidelobe constraints in the design formulation. The resulting array is referred to as restricted beampattern array configuration (RBAC). Alternatively, we consider a new regularized placement array configuration (RPAC) strategy, where antenna position constraints are imposed as means for sidelobe control. In this case, the antenna selection is performed such that each segment of grid points must include one antenna, preventing very large inter-element spacing. We formulate the new RPAC problem and compare its solution to that of the RBAC.

关键词： Interferometric array Regularized sensor Placement Sidelobe Suppression Beampattern

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DECENTRALIZED DATA processing AND MANAGEMENT IN SMART GRID VIA GOSSIPING

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

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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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Angular Information Resolution Limit of sensor arrays

Angular Information Resolution Limit of Sensor Arrays

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Cheng, Yongqiang Wang, Xuezhi Moran, Bill Natl Univ Def Technol Sch Elect Sci & Engn Beijing Peoples R China Univ Melbourne Melbourne Sch Engn Dept Elect & Elect Engn Melbourne Vic 3010 Australia Univ Melbourne Melbourne Sch Engn Def Sci Inst Melbourne Vic 3010 Australia

ISBN: (纸本)9781479914814

A measure of the ability of a sensor array to resolve two closely spaced point sources in angle is proposed here based on the framework of information geometry. The consideration of the geometric structure of a measurement model leads to the concept of information resolution which serves as a new metric to measure intrinsic similarities and differences between signal distributions that generate the manifold geometry. The statistical divergence between two sources is characterized in terms of the geodesic distance induced by the Fisher information metric. An analytical expression of the angular information resolution limit (AIRL) is derived using the constraints on the probability of error for a binary hypothesis test associated with the resolution of two sources. The influence of the detection error as well as the signal-to-noise ratio (SNR) on resolvability are demonstrated. The proposed AIRL can be used as a performance measure for sensor arrays in localizing remote sources and is applicable to various applications (e.g. radar, sonar, or astronomy).

关键词： Geometry

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