This paper addresses information-based sensor selection that determines a set of measurement points maximizing the mutual information between the measurements and the target states. The problem is formulated as a pote...
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ISBN:
(纸本)9781479901609
This paper addresses information-based sensor selection that determines a set of measurement points maximizing the mutual information between the measurements and the target states. The problem is formulated as a potential game in which each player computes a local utility function defined by the conditional mutual information. A new approximation method is proposed for computing the conditional mutual information when the target states are represented using a particle filter to handle a non-linear system with non-Gaussian noise. This method approximates the conditional entropy of an agent conditioned on other agents sensing decision by sampling the other agents measurements from a particle filter. This computational method makes it possible to apply the potential game approach to non-linear/non-Gaussian problems with a large number of the measurements. We performed simulations for localization and tracking of a target with mobile/deployed sensor networks.
Motivated by distributed sensor networks scenarios, we consider a problem of state estimation under communication constraints, in which a real-valued random vector needs to be reliably transmitted through a digital no...
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ISBN:
(纸本)9781424429257
Motivated by distributed sensor networks scenarios, we consider a problem of state estimation under communication constraints, in which a real-valued random vector needs to be reliably transmitted through a digital noisy channel. Estimations are sequentially updated by the receiver, as more and more channel outputs are observed. Assuming that no channel feedback is available at the transmitter, we study the rates at which the mean squared error of the estimation can be made to converge to zero with time. First, simple low-complexity schemes are considered, and trade-offs between performance and encoder/decoder complexity are found. Then, information-theoretic bounds on the best achievable error exponent are obtained.
Acoustic source localization has a variety of applications, from speech signal enhancement to mobile object tracking. Localization procedures applying lightweight algorithms are appealing for implementation in distrib...
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ISBN:
(纸本)9781479952007
Acoustic source localization has a variety of applications, from speech signal enhancement to mobile object tracking. Localization procedures applying lightweight algorithms are appealing for implementation in distributed embedded systems. This paper builds on our previous research of simplifying acoustic localization based on the Steered Response Power with Phase Transform (SRP-PHAT) algorithm and proposes further enhancement by introducing object trajectory tracking and coordinate prediction. For these purposes we integrate Kalman and Rao-Blackwellized particle filters into our simplified approach. Filter predictions serve as target areas for acoustic source search during the subsequent time frames, supporting localization. The approach is applied to moving speaker tracking and displays promising results.
A Sagnac loop-based fiber sensor has been built using a special MgO-based nanoparticle doped fiber. The fiber presents a backscattering of 39.5 dB higher with respect to a standard SMF-28 telecom fiber. The backs...
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A Sagnac loop-based fiber sensor has been built using a special MgO-based nanoparticle doped fiber. The fiber presents a backscattering of 39.5 dB higher with respect to a standard SMF-28 telecom fiber. The backscattering properties of the fiber, combined with a locally stable polarization pattern, have fostered a clear interferometer pattern in middle point of the loop, presenting a backscattering peak roughly 78 dB higher with respect to a standard SMF-28 telecom fiber. The interferometer spectrum, showing a noisy nature given by the presence of the NP-doped fiber element, is clearly detectable. The loop-based sensor has been investigated by changing temperature and strain. The interferometer spectrum shows a shift, detectable with peak tracking and/or correlation method, toward the longer wavelength when temperature and applied strain increase. The measured coefficient of temperature and strain are respectively 1.75 p.m./°C and 1.93 p.m./με. This system shows interesting perspective for combining different optical fiber devices, in order to achieve simultaneous detection and discrimination of temperature and strain.
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