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Threshold optimization for distributed detection using particle filtering methods

Threshold optimization for distributed detection using parti...

引用

4th ieee sensor array and multichannel signal processing workshop

作者： Kyriakides, I. Cochran, D. Arizona State Univ Dept Elect Engn Tempe AZ 85287 USA

ISBN: (纸本)1424403081

Local processing on the nodes of a distributed sensing and processing system has the benefits of reducing the data volume transferred from the nodes to the fusion center, reducing both transmission power requirements and the computational burden on the fusion center. The individual nodes obtain measurements from the environment and transmit a quantized detection statistic to the fusion center. Quantization threshold levels need to be found for each sensor that maximize the performance of the system. We propose a global optimization method, the particle filtering optimization method, that uses particle filtering to propagate the values of the thresholds of a distributed detection system to sensor threshold values that are optimal with respect to some measure of system performance. We demonstrate, through simulations, the effectiveness of the particle filtering optimization method in finding the threshold of each of the sensors used in detection scenario.

关键词： sensor arrays

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OPTIMAL NODE DENSITY FOR TWO-DIMENSIONAL sensor arrayS

OPTIMAL NODE DENSITY FOR TWO-DIMENSIONAL SENSOR ARRAYS

引用

ieee sensor array and multichannel signal processing workshop

作者： Sung, Youngchul Poor, H. Vincent Yu, Heejung Korea Adv Inst Sci & Technol Dept Elect Engn Taejon 305701 South Korea Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781424422401

The problem of optimal node density for ad hoc sensor networks deployed for making inferences about two dimensional correlated random fields is considered. Using a symmetric first order conditional autoregressive Gauss-Markov random field model, large deviations results are used to characterize the asymptotic per-node information gained from the array. This result then allows an analysis of the node density that maximizes the information under an energy constraints yielding insights into the trade-offs among the information, density and energy.

关键词： Markov processes

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One-side Extended Nested array for Degree of Freedom Enhancement 11

One-side Extended Nested Array for Degree of Freedom Enhance...

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

作者： Ren, Shiwei Dong, Wentao Li, Xiangnan Yan, Su Wu, Haixia Wang, Weijiang Beijing Inst Technol Dept Signal & Elect Beijing Peoples R China

ISBN: (纸本)9781728119465

In this paper, an extended nested array strategy is proposed for degree of freedom (DOF) enhancement. Based on the augmented nested array (ANA), with the inter-element spacings in the side subarray increased, the strategy provides the possibility to acquire higher number of DOF than the existing nested-like arrays, such as the nested array, ANA, improved nested array and the maximum inter-element spacing constraint array. The one-side extended nested array (OS-ENA) is specifically proposed based on the ENA strategy, which can successfully avoid the holes brought by the sparse distribution of sensors and increase the DOF. The analytical expressions of sensor locations and DOF are derived. Simulations of the direction-of-arrival estimation verify the superiorities of the proposed OS-ENA with the spacial smoothing MUSIC algorithm used.

关键词： DOA estimation Degree of freedom Sparse nested array

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Indoor localization using subspace matching: An experimental evaluation

Indoor localization using subspace matching: An experimental...

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4th ieee sensor array and multichannel signal processing workshop

作者： Tsuji, Hiroyuki Kikuchi, Shohei Kaveh, Mostafa Natl Inst Informat & Commun Technol 3-4Hikarino Oka Yokosuka Kanagawa 2390847 Japan Keio Univ Sch Integrated Design Engn Yokohama Kanagawa 2238522 Japan Univ Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)1424403081

We propose a method of indoor localization using array sensors. This method uses not only the signal strengths of received signals, but also the spatial information of impinging signals on array sensors. The signal subspaces, which include information about the strengths and angles of arrival of impinging signals on the array sensors, are used to identify the location of the terminal. We use the cosines of the principal angles between the signal subspaces of the spatial covariance matrices of the signals received at an array antenna to measure the similarity between signals transmitted from two locations. We conducted an experiment indoors to confirm the validity and effectiveness of our method. The experimental results confirm its effectiveness.

关键词： sensor arrays

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Random Switch Antenna array FMCW Radar and Its signal processing Method

Random Switch Antenna Array FMCW Radar and Its Signal Proces...

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

作者： Hu, Chenxi Meng, Huadong Wang, Wei Li, Gang Wang, Xiqin Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Xian Elect Engn Res Inst Xian Peoples R China

ISBN: (纸本)9781467310710

In this paper, random switch antenna array (RSAA) is proposed to apply to the switch antenna array (SAA) frequency-modulated continuous-wave (FMCW) radar system. Firstly, the signal model and signal processing method of RSAA is analyzed and it shows that RSAA can successfully solve azimuth-velocity coupling problem. Then we suppose a method by using RSAA to reduce the switching frequency and sampling rate based on sparse signal representation with multiple measurement vectors (MMV). It is shown in simulations that the proposed algorithms yield better performance in terms of azimuth-velocity decoupling and can obtain high image accuracy with less observation data.

关键词： FMCW Radar Time-division multiplexing antenna array RSAA Azimuth-velocity coupling M-FOCUSS

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UAV-BASED URBAN MONITORING USING ON-BOARD 802.11AD RADAR 12

UAV-BASED URBAN MONITORING USING ON-BOARD 802.11AD RADAR

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

作者： Ram, Shobha Sundar Mishra, Kumar Vijay Indraprastha Inst Informat Technol Delhi New Delhi 110020 India United States DEVCOM Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9781665406338

The unmanned aerial vehicles (UAVs) offer low-cost, flexible, and line-of-sight deployment for radar remote sensing as well as building temporary communications base stations in inaccessible or crowded areas. Their limited battery power and small footprints is driving innovations to combine multiple functions in single hardware operating in the same spectrum. In particular, UAV-borne joint radarcommunications (JRC) systems are of significant interest. In this paper, we focus on a wide-bandwidth millimeter-wave JRC system for UAVs that employ ieee 802.11ad protocol for sensing. We model such a system for detecting dynamic users on the ground such as pedestrians and vehicles. Our method incorporates a realistic electromagnetic scattering center model of road targets and surface clutter in the pyBullet software to examine 802.11ad for UAV-borne sensing. Numerical experiments demonstrate that 802.11ad UAVborne sensing is able to capture several micro-Doppler characteristics.

关键词： Beam positioning ieee 802.11ad joint radarcommunications micro-Doppler UAV base station.

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AN ALTERNATING MINIMIZATION APPROACH TO OPTIMIZING SUBarray CONFIGURATION FOR A LARGE PHASED array 10

AN ALTERNATING MINIMIZATION APPROACH TO OPTIMIZING SUBARRAY ...

引用

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

作者： Pu, Wenqiang Yu, Yong Yu, Shuhua Luo, Zhi-Quan Xidian Univ Natl Lab Radar Signal Proc Xian Shaanxi Peoples R China China Elect Technol Grp Corp Beijing Peoples R China Chinese Univ Hong Kong Shenzhen Res Inst Big Data Shenzhen Peoples R China

ISBN: (纸本)9781538647523

A large size phased array is a powerful system for surveillance, but must be appropriately decomposed as subarrays for efficient digital beamforming. One fundamental question is how to configure a large array as subarrays to satisfy various signal processing requirements. This work deals with two basic signal processing tasks, synthesizing multiple beams at subarray level and adaptively suppressing multiple interferences. Two optimization criteria to jointly design subarray configuration and digital weights for subarrays are proposed. To handle the large number of variables in the optimization formulations, we propose an alternating minimization approach with low computation cost. Numerical simulations are presented to demonstrate the effectiveness of the proposed algorithm.

关键词： Phased array subarray beamforming alternating optimization

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Sparse array Beamformer Design via ADMM 12

Sparse Array Beamformer Design via ADMM

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

作者： Huang, Huiping So, Hing Cheung Zoubir, Abdelhak M. Tech Univ Darmstadt Darmstadt Germany City Univ Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781665406338

In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-tointerference-plus-noise ratio (SINR). The proposed method uses the alternating direction method of multipliers (ADMM), and admits closed-form solutions at each ADMM iteration. Numerical results exhibit excellent performance of the proposed method, which is comparable to that of the exhaustive search approach.

关键词： Adaptive beamforming ADMM sparse array design output SINR

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FAST DISTRIBUTED CONSENSUS ALGORITHMS BASED ON ADVECTION-DIFFUSION PROCESSES

FAST DISTRIBUTED CONSENSUS ALGORITHMS BASED ON ADVECTION-DIF...

引用

ieee sensor array and multichannel signal processing workshop

作者： Sardellitti, S. Giona, M. Barbarossa, S. Univ Roma La Sapienza INFOCOM Dept Via Eudossiana 18 I-00184 Rome Italy Univ Roma La Sapienza Dept Chem Engn Via Eudossiana 18 I-00184 Rome Italy

ISBN: (纸本)9781424422401

Distributed consensus algorithms have recently gained a large interest in sensor networks as a way to achieve globally optimal decisions in a totally decentralized way, that is without the need of sending all the data collected by the sensors to a fusion center. The goal of this work is to show that modeling a consensus algorithm as the homogenization process of a fluid through an advection-diffusion process provides a fundamental clue to design innovative consensus algorithms whose convergence rate can be increased by acting on the (equivalent) advection mechanism, without increasing the coverage radius of any sensor. In particular, we show the increase of convergence rate resulting from a proper interplay between advection and diffusion mechanisms.

关键词： sensor networks

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A Note on The Maximum Number of Sources in DOA Estimation by MODE 11

A Note on The Maximum Number of Sources in DOA Estimation by...

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

作者： Hamada, Shohei Ichige, Koichi Yokohama Natl Univ Dept Elect & Comp Engn Hodoga Ku 79-5 Tokiwadai Yokohama Kanagawa 2408501 Japan

ISBN: (纸本)9781728119465

This paper discusses the maximum number of sources when their direction of arrivals (DOAs) are estimated by the method of direction estimation (MODE), and presents a modified version of MODE that can estimate more number of sources than that by the original MODE. It is well-known that M-element array can basically estimate up to (M - 1) DOAs, however the application of MODE may reduce up to M/2 DOAs because of its computation procedure. We propose a novel DOA estimation method by modifying MODE to employ peak-search of the primary eigenvector beam patterns instead of the null-search in the original MODE. Performance of the proposed method is evaluated through computer simulation.

关键词： direction of arrival estimation MODE array signal processing number of sources

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