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Hybrid Probabilistic Data Association and Variational Filtering for Multi-Target Tracking in Wireless sensor Networks

Hybrid Probabilistic Data Association and Variational Filter...

引用

3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Teng, Jing Snoussi, Hichem Richard, Cedric Zhou, Yi ICD/LM2S University of Technology of Troyes 10000 12 rue Marie Curie France

ISBN: (纸本)9781424451807

A hybrid signal processing scheme is proposed for distributed multi-target tracking (MTT). For the sake of resource efficiency in a wireless sensor network (WSN), we reduce the problem to parallel cluster-based single target tracking when the targets are far apart, and switch to MTT only when data association becomes ambiguous. A sequential monte carlo method is employed to assign the ambiguous observations to specific targets or clutter, based on association probabilities. Whereas the rest observations are incorporated by the variational filter, which approximates the distribution of involved particles by a simple Gaussian distribution for each target. The natural and adaptive message compression dramatically reduces the resource consumption of the WSN. The low computation complexity also guarantees the one-line execution of the hybrid MTT scheme. In addition, experimental results prove that the proposed scheme succeeds in distinguishing and tracking multiple targets even during the occlusions.

关键词： Wireless sensor networks

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Universal Priors for Sparse Modeling

Universal Priors for Sparse Modeling

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3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Ramirez, Ignacio Lecumberry, Federico Sapiro, Guillermo Univ Minnesota Dept Elect Engn 200 Union St SE Minneapolis MN 55455 USA Univ Republica Inst Ingn Electr Montevideo 11300 Uruguay

ISBN: (纸本)9781424451791

Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a dictionary, have gained considerable attention in recent years, and their use has led to state-of-the-art results in many signal and image processing tasks. It is now well understood that the choice of the sparsity regularization term is critical in the success of such models. In this work, we use tools from information theory to propose a sparsity regularization term which has several theoretical and practical advantages over the more standard l(0) or l(1) ones, and which leads to improved coding performance and accuracy in reconstruction tasks. We also briefly report on further improvements obtained by imposing low mutual coherence and Gram matrix norm on the learned dictionaries.

关键词： Image processing

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A SEMI-CLOSED-FORM SOLUTION TO OPTIMAL DECENTRALIZED BEAMFORMING FOR TWO-WAY RELAY NETWORKS

A SEMI-CLOSED-FORM SOLUTION TO OPTIMAL DECENTRALIZED BEAMFOR...

引用

3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Shahbazpanahi, Shahram Univ Ontario Fac Engn & Appl Sci Inst Technol Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9781424451791

In this paper, we investigate the design of a distributed beamforming technique for two-way relay networks consisting of two transceivers and multiple relay nodes. We consider the problem of the total transmit power minimization subject to two constraints that maintain the transceivers' SNRs above given thresholds gamma(1) and gamma(2). For this problem, we obtain a semi-closed-form solution for the beamforming weight vector. Our solution is based on the observation that beamforming weight vector depends on the sum of SNR thresholds gamma(1) + gamma(2). As long as this sum does not change, the beamforming weight vector will not change. Hence, a two-way relay vector can be equivalently modeled as a one-way relay network where gamma(1) and gamma(2) are replaced with 0 and gamma(1) + gamma(2), respectively. Based on this equivalent one-way relaying scheme, the beamforming weight vector is obtained in a closed form if a certain intermediate parameter is given. This parameter is the transmit power of the source in the equivalent one-way relaying scheme and can be obtained efficiently using a simple bisection method. Once this parameter is obtained, the beamforming weight vector can be obtained in a closed form.

关键词： Distributed beamforming ad hoc relay networks two-way relaying distributed signal processing SNR balancing optimal power allocation bi-directional relaying

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Energy Efficient and Low Cost Air Quality sensor for Smart Buildings 3

Energy Efficient and Low Cost Air Quality Sensor for Smart B...

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3rd ieee International Conference on Computational Intelligence and Communication Technology (CICT)

作者： Kumar, Anuj Kumar, Ashok Singh, Abhishek Cent Bldg Res Inst CSIR Efficiency Bldg Grp Roorkee 247667 Uttar Pradesh India

ISBN: (纸本)9781509062188

An Indoor-Air-Quality (IAQ) sensor is developed in conformity with ISO/ieee/IEC 21451 standards. The developed IAQ sensor is suitable to monitor the concentrations of indoor air quality parameters like PM2.5, CO2, O-3, and CO. The semiconductor and PM 2.5 sensors are used for implement the sensor array. The optical PM2.5 sensor module has been developed. The sensing part of the developed sensor is controlled through smart devices with GSM network. The machine-tomachine (M2M) data communication is implemented for the air quality sensor and smart devices. The calibration of the developed sensor has also been implemented successfully. The IAQ sensor is portable, easy to operate, low cost, and energy efficient.

关键词： sensor array signal processing calibration sensor integration GSM communication

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OPTIMAL NETWORK SIZE AND ENCODING RATE FOR RANDOM FIELD ESTIMATION WITH WIRELESS sensor NETWORKS

OPTIMAL NETWORK SIZE AND ENCODING RATE FOR RANDOM FIELD ESTI...

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3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Matamoros, Javier Anton-Haro, Caries Ctr Tecnol Telecomunicac Catalunya Castelldefels 08860 Spain

ISBN: (纸本)9781424451791

In this paper, we address the problem of random field estimation with Wireless sensor Networks in the absence of CSI at the sensor nodes. We assume that sensors encode their observations at a common and constant rate which, on the one hand, determines the quantization noise at the encoders and, on the other, the outage probability experienced in the sensor-to-fusion center fading channels. These effects, arising from the power and bandwidth constraints that we impose, along with the spatial sampling process itself result into some distortion that we attempt to minimize by carefully selecting the optimal number of sensor nodes and the aforementioned encoding rate. On the basis of a (tight) upper bound, we derive closed-form expressions of the corresponding optimal values. Computer simulation results are mostly given in terms of optimal encoding rate and network size for different operating conditions (SNR, spatial variability of the random field) and reconstruction distortion vs. network size.

关键词： sensor nodes

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Sparse antenna array design for directional modulation

Sparse antenna array design for directional modulation

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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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Performance improvement for wideband DOA estimation with white noise reduction based on uniform linear arrays

Performance improvement for wideband DOA estimation with whi...

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

作者： Anbiyaei, Mohammad Reza Liu, Wei McLernon, Des C. Communications Research Group Department of Electronic and Electrical Engineering University of Sheffield SheffieldS1 3JD United Kingdom Signal Processing for Communications Group School of Electronic and Electrical Engineering University of Leeds LeedsLS2 9JT United Kingdom

ISBN: (纸本)9781509021031

A method is proposed for reducing the effect of white noise in wideband uniform linear arrays via a combination of a judiciously designed transformation followed by highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various direction of arrival (DOA) estimation methods. As a representative example, the compressive sensing-based wideband DOA estimation method is employed here to demonstrate the improved estimation performance, this is confirmed by simulation results. © 2016 ieee.

关键词： White noise

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Distributed Projection Approximation Subspace Tracking Based on Consensus Propagation

Distributed Projection Approximation Subspace Tracking Based...

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3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Reyes, Carolina Hilaire, Thibault Mecklenbraeuker, Christoph F. Vienna Univ Technol Inst Commun & RF Engn A-1040 Vienna Austria Univ Paris 06 Lab Comp Sci LIP 6 Paris France Vienna Univ Technol Christian Doppler Lab Wireless Technol Sustainable Mobil A-1040 Vienna Austria

ISBN: (纸本)9781424451807

We develop and investigate a distributed algorithm for signal subspace tracking with a wireless sensor network without the need for a fusion center, in order to improve the robustness and scalability. We assume that all sensor nodes may broadcast messages to sensors in their neighborhood defined by a finite (small) communication radius. To this aim, we start from Projection Approximation Subspace Tracking (PAST) which is a well-investigated algorithm suitable for implementation in a fusion center. We arrive at a distributed approximation of the PAST algorithm by letting each sensor broadcast its local observation variable x(n) (t) and a filtered observation vector (y) under bar (n) (t) to its neighborhood. Vice versa, the received messages at sensor node n from its neighborhood are fused by employing consensus propagation. Finally, we investigate the proposed distributed algorithm in simulation runs.

关键词： sensor nodes

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Statistical Design of a 3D Microarray with Position-Encoded Microspheres

Statistical Design of a 3D Microarray with Position-Encoded ...

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3rd ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Sarder, Pinaki Nehorai, Arye Washington Univ St Louis Dept Elect & Syst Engn St Louis MO 63130 USA

ISBN: (纸本)9781424451807

We propose a three-dimensional (3D) microarray device with fixed distance between the microspheres. The microspheres in the new device have controllable positions. To design the layout of our proposed device, we consider an optimal statistical performance analysis for imaging the microspheres. We compute the posterior Cramer-Rao bound on the error in estimating the unknown imaging parameters and use the bound to compute the minimal distance between the microspheres, which provides a desired level of statistical imaging performance. We illustrate our concept using a numerical example. The proposed microarray has high sensitivity, efficient packing density, and guaranteed imaging performance. It identifies targets based on the microspheres' locations, allowing significantly simplified imaging analysis.

关键词： Microspheres

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ESPAR antennas-based signal processing for DS-CDMA signal waveforms in ad hoc network systems 3

ESPAR antennas-based signal processing for DS-CDMA signal wa...

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3rd ieee workshop on signal processing Advances in Wireless Communications (SPAWC 01)

作者： Yang, KH Ohira, T ATR Adapt Commun Res Labs Seika Kyoto 6190288 Japan

ISBN: (纸本)0780367200

Electronically Steerable Passive array Radiator (ESPAR) antennas are capable to spatially form a beam toward the desired signal with the lowest cost, which are suitable to be employed in ad hoc wireless network systems. In this paper, we propose a cascaded scheme for ESPAR antenna-based signal processing, where the beam toward the desired user terminal is formed in advance, and the equalizer for direct-sequence code division multiple access (DS-CDMA) signal waveforms is followed. According to the scheme, cochannel user-terminals' signals and inter-symbol interference signals are respectively suppressed by spatial filtering of the desired beam and the waveform-based adaptive equalization. The steady state and convergence performances of the proposed scheme are illustrated numerically by simulations.

关键词： Adaptive filters Antenna arrays array signal processing Costs Equalizers Filtering Intersymbol interference Multiaccess communication signal processing Wireless networks

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