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Non-centralized target tracking in networks of directional sensors: Further advances

Non-centralized target tracking in networks of directional s...

引用

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

作者： Li Geng Petar M. Djurić Department of Electrical and Computer Engineering Stony Brook University Stony Brook NY USA

Directional sensors detect targets within a range and a predefined direction. In this paper, we assume that directional sensors are deployed in a sensor field, where at each node there are four collocated directional sensors providing a coverage of 360°. We extend results of some of our previous work on this subject and study the effects of different network parameters on the performance of the proposed methods. We also extend the methods so that they can track more than one target simultaneously moving in the sensor field.

关键词： sensors Target tracking Noise Covariance matrix Noise measurement Uncertainty signal processing algorithms

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Multiple source localization based on biased bearings using the intensity filter - approach and experimental results

Multiple source localization based on biased bearings using ...

引用

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

作者： Marek Schikora Marc Oispuu Wolfgang Koch Daniel Cremers Department Sensor Data and Information Fusion Fraunhofer FKIE Wachtberg Germany Department Computer Science Technical University of Munich Garching Germany

this paper investigates the three-dimensional localization problem for multiple emitters using a realistic airborne array sensor. In order to achieve improved results systematic and statistical direction finding errors are considered in a unified algorithm. the task is solved using a sequential Monte Carlo (SMC) implementation of the intensity filter (iFilter). In this paper, we compare two localization approaches without and with the consideration of systematic bearing errors and verify them with an experimental data set. the comparison of both approaches reveals that the bias consideration offers a superior performance.

关键词： Position measurement Vectors Systematics Particle measurements Atmospheric measurements Antenna measurements arrays

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Event-triggered multi-area state estimation in power systems

Event-triggered multi-area state estimation in power systems

引用

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

作者： Neelabh Kashyap Stefan Werner Yih-Fang Huang School of Electrical Engineering Department of Signal Processing and Acoustics Aalto University Helsinki Finland Department of Electrical Engineering University of Notre Dame Notre Dame IN USA

this paper presents a distributed estimation scheme as a possible solution to multi-area state estimation for power systems. the proposed estimation scheme features data-dependent selective sensing and estimation, namely, event-triggered estimation and communication. the triggering event is characterized by the innovation received by the measurements. the proposed scheme can potentially reduce the overhead costs that include communication (bandwidth), data processing and interference, leading to more effective use of the resources.

关键词： Voltage measurement State estimation Phasor measurement units Vectors Power systems Educational institutions

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Bandlimited or constant envelope? Exploiting waveform properties in Wireless Microphone detection

Bandlimited or constant envelope? Exploiting waveform proper...

引用

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

作者： Daniel Romero Roberto López-Valcarce Department Signal Theory and Communications University of Vigo Vigo Spain

the detection of bandlimited (BL) constant magnitude (CM) signals in white noise of unknown power is analyzed. this is relevant in the context of Dynamic Spectrum Access since Wireless Microphones (WM) typically use analog FM modulation when transmitting in the TV bands, and their bandwidth is much smaller than that of a TV channel. Although detectors exploiting either the BL or the CM properties have been presented in the literature, these two features have not been jointly considered yet. We derive the Generalized Likelihood Ratio test for this setting. Performance is evaluated in the framework for WM simulation developed to assist the ieee 802.22 Working Group.

关键词： Vectors Detectors Bandwidth Frequency modulation Wireless communication TV Wireless sensor networks

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On Epps effect and rebalancing of hedged portfolio in multiple frequencies

On Epps effect and rebalancing of hedged portfolio in multip...

引用

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

作者： Mustafa U. Torun Ali N. Akansu Department of Electrical and Computer Engineering New Jersey Institute of Technology University Heights Newark NJ USA

Correlations of financial asset returns play a central role in designing investment portfolios by using Markowitz's modern portfolio theory (MPT). Correlations are calculated from asset prices that happen at various trading time intervals. therefore, trading frequency dictates correlation values. this phenomenon is called the Epps effect in finance. We present variations of correlations as a function of trading frequency to quantify Epps effect. the results reiterate that portfolio rebalancing, particularly in multiple trading frequencies, requires good estimation of correlations in order to deliver reliable hedging.

关键词： Correlation Portfolios Investments Estimation Conferences signal processing Industries

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Modelling and analysis of radio tomography

Modelling and analysis of radio tomography

引用

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

作者： Richard K. Martin Christopher Anderson Ryan W. thomas Amanda Sue King Air Force Institute of Technology OH USA U.S. Naval Academy Annapolis MD USA

Radio tomographic imaging (RTI) has recently been proposed for tracking object location via radio waves without requiring the objects to transmit or receive radio signals. the position is extracted by inferring which voxels are obstructing a subset of radio links in a dense wireless sensor network. this paper proposes a refined model for signal attenuation in RTI based on measured data, which is used to provide analytic support for previous qualitative observations. We also provide an analytic method for choosing the weighting of the regularization term, and investigate methods for dealing with negative observations caused by noise.

关键词： Attenuation Noise Wireless sensor networks Estimation Tomography Analytical models

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Coalition formation in MISO interference channels

Coalition formation in MISO interference channels

引用

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

作者： Rami Mochaourab Eduard Jorswieck Communications Theory Communications Laboratory Dresden University of Technology Dresden Germany

We consider a multi-link multiple-input single-output interference channel. A link in this setting is noncooperative if its transmission does not take into account the interference it generates at other links. Noncooperative operation of the links is generally not efficient. To improve this situation, we study link cooperation via coalitional games. In coalitional games, a player has an incentive to cooperate with other players if this improves his payoff. We model the setting as a game in coalitional form without transferable utility. the players (links) in a coalition either perform zero forcing transmission or Wiener filter precoding to each other. Necessary and sufficient conditions, in terms of a lower signal-to-noise ratio (SNR) threshold, are provided under which all players have the incentive to cooperate and form a grand coalition. In addition, we provide sufficient conditions under which all players have no incentive to cooperate. In this case, the SNR has to be below a specified SNR threshold. Hence, there exists an SNR range in which the links would profit in forming subcoalitions. therefore, we turn our attention to coalition formation games between the links. We utilize a coalition formation algorithm, called merge-and-split, to determine stable user grouping. Numerical results show that while in the low SNR regime noncooperation is efficient with single-player coalitions, in the high SNR regime all users benefit in forming a grand coalition. Coalition formation shows its significance in the mid SNR regime where subset user cooperation provides joint performance gains.

关键词： signal to noise ratio Games Transmitters Receivers Joints array signal processing Vectors

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Sparsity-enforced regression based on over-complete dictionary

Sparsity-enforced regression based on over-complete dictiona...

引用

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

作者： Peng Yang Gongguo Tang Arye Nehorai Preston M. Green Department of Electrical and Systems Engineering Washington University of Saint Louis Saint Louis MO USA

Nonlinear regression has broad applications in various research areas, and kernel-based regression is very popular in machine learning literature. However, the selection of basis-function parameters is often difficult. In this paper we propose a new sparsity-enforced regression method based on an over-complete dictionary. the over-complete dictionary comprises basis functions with quantized parameters, and we employ ℓ 1 -regularized minimization to obtain a sparse weight vector of the basis. the ℓ 1 -regularized minimization automatically selects the most suitable basis function parameters. Performance analysis shows that this new method provides improved regression accuracy with small model complexity as measured by the number of non-zero entries of the weight vector.

关键词： Kernel Dictionaries Vectors Support vector machines Minimization Complexity theory signal processing algorithms

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Regularized covariance estimation in scaled Gaussian models

Regularized covariance estimation in scaled Gaussian models

引用

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

作者： Ami Wiesel The Rachel and Selim Benin School of Computer Science and Engineering Hebrew University of Jerusalem Israel

We consider regularized covariance estimation in scaled Gaussian settings, e.g., Elliptical distributions, compound-Gaussian processes and spherically invariant random vectors. the classical maximum likelihood (ML) estimate due to Tyler is asymptotically optimal under different criteria and can be efficiently computed even though the optimization is non-convex. We propose a unified framework for regularizing this estimate in order to improve its finite sample performance. Our approach is based on the discovery of hidden convexity within the ML objective, namely convexity on the manifold of positive definite matrices. We regularize the problem using appropriately convex penalties. these allow for shrinkage towards the identity matrix, shrinkage towards a diagonal matrix, shrinkage towards a given positive definite matrix, and regularization of the condition number. We demonstrate the advantages of these estimators using numerical simulations.

关键词： Covariance matrix Optimization Maximum likelihood estimation signal processing Robustness Manifolds

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Improved blind separation algorithm for overlapping secondary surveillance radar replies

Improved blind separation algorithm for overlapping secondar...

引用

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

作者： Mu Zhou Alle-Jan van der Veen Department of Electrical Engineering Delft University of Technnology Delft Netherlands

the secondary surveillance radar (SSR) is a transponder system used in air-traffic control. With the increase in air-traffic, replies from airplanes may overlap in time at ground station receivers, which results in loss of all replies for classic receivers. Blind source separation algorithms were proposed to separate such a mixture by the properties of SSR replies. Two known algebraic algorithms, the Manchester decoding algorithm (MDA) and the multishift zero-constant modulus algorithm, have the best performance but they still have performance degradation in cases with either small overlapping ratios or equal residual carrier frequencies. In this paper, we propose a modified subspace intersection method based on signed URV decompositions to preprocess the received data matrix for MDA. the proposed algorithm works on three successive time slots with the target time slot locating in the center and significantly improves the performance of MDA in all cases. Especially, in cases with small overlapping ratios, it touches the upper bound of the performance it can achieve. It shows the most stable performance compared with previous algorithms.

关键词： signal to noise ratio Silicon Interference signal processing algorithms Radar Surveillance Delay

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