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A Monte Carlo scheme for node-specific inference over wireless sensor networks

A Monte Carlo scheme for node-specific inference over wirele...

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Martino, Luca Plata-Chaves, Jorge Louzada, Francisco Brazil Department of Electrical Engineering-ESAT STADIUS KU Leuven LeuvenB-3001 Belgium

ISBN: (纸本)9781509021031

In this work, we design an efficient Monte Carlo scheme for a node-specific inference problem where a vector of global parameters and multiple vectors of local parameters are involved. This scenario often appears in inference problems over heterogeneous wireless sensor networks where each node performs observations dependent on a vector of global parameters as well as a vector of local parameters. The proposed scheme uses parallel local MCMC chains and then an importance sampling (IS) fusion step that leverages all the observations of all the nodes when estimating the global parameters. The resulting algorithm is simple and flexible. It can be easily applied iteratively, or extended in a sequential framework. © 2016 ieee.

关键词： Vectors

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multichannel array processing in radar: State of the art, hot topics and way ahead

Multichannel array processing in radar: State of the art, ho...

引用

2004 sensor array and multichannel signal processing workshop

作者： Farina, A. Fabrizio, G.A. Melvin, W.L. Timmoneri, L. Chief Technical Office Radar and Technology Division Via Tiburtina Km. 12.400 00131 Rome Italy PO box 1500 Edinburgh SA 5111 Australia 7220 Richardson Rd. Smyrna GA 30080 United States

ISBN: (纸本)0780385454

The space-time adaptive processing (STAP) technique was originally conceived to suppress clutter (and jamming) received by radar on board moving platforms such as aircraft;this was so because of the clutter ridge in the Doppler frequency and angle (spatial frequency) plane. In fact, the clutter echoes appear coupled in angle and Doppler frequency. When the platform is stationary this coupling does not exist anymore. However, the STAP technique still seems valuable when clutter and jamming are present and their statistical features are not known a priori. This paper demonstrates this statement by showing results concerning the processing of recorded live data. It also tackles the problem of selecting an algorithm to work in a nonstationary, nonhomogeneous environment. ©2004 ieee.

关键词： Space time adaptive processing

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Two-dimentional direction-of-arrival estimation of coherent signals with l-sharped array

Two-dimentional direction-of-arrival estimation of coherent ...

引用

ieee sensor array and multichannel signal processing workshop

作者： Wang, Guangmin Xin, Jingmin Zheng, Nanning Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University China

ISBN: (纸本)9781424489770

In this paper, a new method is proposed for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple narrowband coherent signals impinging on an L-shaped sensor arrays structured by two uniform linear arrays (ULAs). The coherency of incident signals is decorrelated through subarray averaging technique, and the null space is obtained through linear operator of the cross-correlation matrix between the received data of two ULAs without eigendecomposition. The elevation angles and the quasi-azimuth angles are firstly decoupled and estimated, and the pair-matching of two groups of angles can be accomplished by using a novel method. Then by investigating the geometrical relationship, the azimuth angles can be obtained. Furthermore the asymptotic mean-square-error (MSE) of the estimated elevation and azimuth angles are derived, and the effectively of the proposed method is verified through numerical examples. © 2010 ieee.

关键词： Mean square error

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Sparse antenna array design for directional modulation

Sparse antenna array design for directional modulation

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Zhang, Bo Liu, Wei Gou, Xiaoming Communications Research Group Department of Electronic and Electrical Engineering University of Sheffield SheffieldS1 3JD United Kingdom School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781509021031

Directional modulation (DM) can be achieved based on uniform linear arrays (ULAs), where the maximum half wavelength spacing is needed to avoid spatial aliasing. To exploit the degrees of freedom (DOFs) in the spatial domain, sparse arrays can be employed for more effective DM design. In this paper, the problem of antenna location optimisation for sparse arrays in the context of DM is addressed for the first time, where compressive sensing based formulations are proposed employing the group sparsity concept. Design examples are provided to verify the effectiveness of the proposed designs. © 2016 ieee.

关键词： Compressed sensing

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Phaseforming: A suitable representation of array gain in broadband multicarrier transmissions

Phaseforming: A suitable representation of array gain in bro...

引用

2004 sensor array and multichannel signal processing workshop

作者： Raos, Ivana Zazo, Santiago ETS Ingenieros de Telecomunicación C-303 Universidad Politécnica de Madrid Ciudad Universitaria S/n Madrid 28040 Spain

ISBN: (纸本)0780385454

Standard beamforming designs are typically based on narrowband transmissions and narrow angle spread scenarios. In this situation, pointing a narrow beam towards the main reflector is a suitable strategy for transmit beamforming in order to minimize interuser interference while a wider beam should be introduced in receiving applications in order to increase signal to Noise Ratio (SNR). In both cases, design is based on beamformer concepts where distribution of array gain for different angles is a good description. However, in MultiCarrier (MC) transmissions through wide angle spread channels, phase shift between different antennas for all the carriers provide a more suitable description for the array gain concept. In this paper we will describe this procedure for MC-CDMA as a candidate for B3G (Beyond 3G) mobile application analysing different alternatives if Channel State Information (CSI) is assumed or partial CSI has to be considered. © 2004 ieee.

关键词： signal processing

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Likelihood-Ratio and channel based access for energy-efficient detection in Wireless sensor Networks

Likelihood-Ratio and channel based access for energy-efficie...

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ieee sensor array and multichannel signal processing workshop

作者： Cohen, Kobi Leshem, Amir School of Engineering Bar-Ilan University Ramat-Gan 52900 Israel

ISBN: (纸本)9781424489770

We examine transmission scheduling by medium access control (MAC) for energy-efficient detection using Wireless sensor Networks (WSN). We focus on the binary hypothesis testing problem. The decision is made by an access point and based on received data from sensors that transmit through a fading channel. We study the significance of exploiting both Channel-State Information (CSI) and Likelihood-Ratio Information (LRI) to design adequate MAC protocol that minimizes the total transmission energy required for the detection problem. By formulating the problem as a Stochastic Shortest Path (SSP) problem we design the LRI and CSI Based Access (LCBA) protocol. LCBA trades off between LRI and CSI to minimize the total transmission energy. It allows sensors to access the channel according to the optimal policy which solves the formulated SSP problem. © 2010 ieee.

关键词： Channel state information

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Multi-task wireless acoustic sensor network for node-specific speech enhancement and DOA estimation

Multi-task wireless acoustic sensor network for node-specifi...

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Hassani, Amin Plata-Chaves, Jorge Bertrand, Alexander Moonen, Marc Department of Electrical Engineering-ESAT STADIUS KU Leuven LeuvenB-3001 Belgium

ISBN: (纸本)9781509021031

We consider the design of a distributed algorithm that is suitable for a wireless acoustic sensor network formed by nodes solving multiple tasks (MDMT). In the network, some of the nodes aim at estimating the node-specific direction-of-arrival of some desired sources. Additionally, there are other nodes that aim at implementing either a multi-channel Wiener filter or a minimum variance distortionless response beamformer in order to estimate node-specific desired signals as they impinge on their microphones. By using compressive filter-and-sum operations that incorporate a low-rank approximation of the sensor signal correlation matrix, the proposed MDMT algorithm let the nodes cooperate to achieve the network-wide centralized solution of their node-specific estimation problems without any knowledge about the tasks of other nodes. Finally, the effectiveness of the algorithm is shown through computer simulations. © 2016 ieee.

关键词： Direction of arrival

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A subspace method for array covariance matrix estimation

A subspace method for array covariance matrix estimation

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Rahmani, Mostafa Atia, George K. Department of Electrical and Computer Engineering University of Central Florida OrlandoFL United States

ISBN: (纸本)9781509021031

This paper introduces a subspace method for the estimation of an array covariance matrix. When the received signals are uncorrelated, it is shown that the array covariance matrices lie in a special subspace defined through all possible correlation vectors of the received signals and whose dimension is typically much smaller than the ambient dimension. Based on this observation, a subspace-based covariance matrix estimator is proposed as a solution to a semi-definite convex optimization problem. While the optimization problem has no closed-form solution, a nearly optimal closed-form solution that is easily implementable is proposed. The proposed approach is shown to yield higher estimation accuracy than conventional approaches since it eliminates the estimation error that does not lie in the subspace of the true covariance matrices. The numerical examples demonstrate that the proposed estimator can significantly improve the estimation quality of the covariance matrix. © 2016 ieee.

关键词： Covariance matrix

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Antenna selection in massive MIMO systems: Full-array selection or subarray selection?

Antenna selection in massive MIMO systems: Full-array select...

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Gao, Yuan Kaiser, Thomas Institute of Digital Signal Processing University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781509021031

This paper presents a concept of subarray antenna selection in massive MIMO systems, i.e., the whole antenna array is segmented into subarrays and only one antenna is selected in each subarray. The subarray antenna selection can reduce the hardware complexity of the RF switching network, but at the cost of performance degradation due to the introduced selection constraint. We evaluate such performance degradation not only with the ideal independent and identically distributed (i.i.d.) but also with the realistic measured channels. To serve our evaluation, an antenna selection algorithm based on branch and bound method is presented, which aims to select an optimal channel submatrix with the largest minimum singular value. A qualitative analysis is also given to compare the performance between the full-array and subarray selection. Simulation results show that the massive MIMO subarray antenna selection has close performance to the full-array antenna selection, no matter with the i.i.d. channels or the realistic channels. The results in this paper imply that the with the concept of subarray antenna selection, antenna selection is still a practical and promising technology in the realistic massive MIMO systems. © 2016 ieee.

关键词： MIMO systems

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Low-complexity correlated time-averaged variable forgetting factor mechanism for diffusion RLS algorithm in sensor networks

Low-complexity correlated time-averaged variable forgetting ...

引用

2016 ieee sensor array and multichannel signal processing workshop, SAM 2016

作者： Zhang, Ling Cai, Yunlong Li, Chunguang De Lamare, Rodrigo C. Zhao, Minjian Department Ofinformation Science and Electronic Engineering Zhejiang University Hangzhou310027 China CETUC-PUC-Rio Rio de Janeiro22453-900 Brazil

ISBN: (纸本)9781509021031

In this work, we present the low-complexity variable forgetting factor (VFF) technique for the diffusion recursive least squares (RLS) algorithm. In particular, we adopt the VFF mechanism that rely on time-averages of the posteriori error signal and incorporate it into the diffusion RLS (DRLS) algorithm to yield the low-complexity correlated time-averaged VFF diffusion RLS (LCTVFF-DRLS) algorithm. We develop detailed analyses in terms of mean and mean square performance for the proposed algorithm, and derive mathematical expressions to compute the mean square deviation (MSD) and the excess mean square error (EMSE). The simulation results show that the proposed LCTVFF-DRLS algorithm outperforms the existing DRLS algorithm with the fixed forgetting factor, and demonstrate a good match between our proposed analytical expressions and simulated results. © 2016 ieee.

关键词： Diffusion

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