the interplay between signalprocessing and wireless networking plays a crucial role in sensor networks deployed for detection and estimation applications. In this paper, an opportunistic power assignment strategy for...
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ISBN:
(纸本)9781424422401
the interplay between signalprocessing and wireless networking plays a crucial role in sensor networks deployed for detection and estimation applications. In this paper, an opportunistic power assignment strategy for IR-UWB sensor networks is presented which is designed to optimize detection performance in terms of the global probability of error. the opportunistic power assignment strategy utilizes boththe detection error probabilities of individual sensors as well as network topology information, leading to significant performance gains compared to uniform power assignment.
We propose a scalable and energy efficient method for reconstructing a 'sparse' Gauss-Markov random field that is observed by an array of sensors and described over wireless channels to a fusion center. the en...
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ISBN:
(纸本)9781424422401
We propose a scalable and energy efficient method for reconstructing a 'sparse' Gauss-Markov random field that is observed by an array of sensors and described over wireless channels to a fusion center. the encoder is universal, i.e. invariant to the statistical model of the source and the channel, and is based on compressed sensing. the reconstruction algorithms exploit the a-priori statistical information about the field and the channel at the fusion center to yield a performance comparable to information theoretic bounds. Furthermore, by putting stringent constraints on the sensing matrix we avoid (or even eliminate) inter-sensor communication while suffering negligible degradation in performance.
In this paper, we propose angle of arrival estimation algorithms for arbitrary array geometries. the proposed methods extend the root-WSF [1] and Modified Variable Projection (MVP) [2] algorithms to arbitrary array co...
ISBN:
(纸本)9781424422401
In this paper, we propose angle of arrival estimation algorithms for arbitrary array geometries. the proposed methods extend the root-WSF [1] and Modified Variable Projection (MVP) [2] algorithms to arbitrary array configurations. this is accomplished by employing the recently introduced Manifold Separation Technique (MST) [3], which stems from wavefield modelling [4]. the algorithms process the data in the element-space domain, i.e. no mapping of the data that introduces errors is required. Moreover, coherent sources can be handled. the proposed MST-based MVP algorithm shows a statistical performance close to the Cramer-Rao Lower Bound (CRLB) [5, 6]. the performance is illustrated using calibration data from two real-world arrays.
Seismic receiver arrays that are used in modern 3D marine surveys can also be used as 2D sensorarrays in the localization of the diffracted noise sources and hence allow attenuation of such noise from the seismic rec...
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Seismic receiver arrays that are used in modern 3D marine surveys can also be used as 2D sensorarrays in the localization of the diffracted noise sources and hence allow attenuation of such noise from the seismic records.
In this paper, two robust presteered broadband (PB) beamformers are developed using worst-case designs. the proposed techniques are shown to enjoy a reduced computational complexity and/or significant performance impr...
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In this paper, two robust presteered broadband (PB) beamformers are developed using worst-case designs. the proposed techniques are shown to enjoy a reduced computational complexity and/or significant performance improvements as compared to the existing robust wideband beamforming techniques in scenarios witharray response errors.
In this paper, we address the problem of blind source separation of non circular digital communication signals. An optimal combination of statistics obtained from fourth order cumulants that achieves the separation of...
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In this paper, we address the problem of blind source separation of non circular digital communication signals. An optimal combination of statistics obtained from fourth order cumulants that achieves the separation of non-circular sources is proposed.
We present the asymptotic performance analysis of the interpolated root-MUSIC and manifold separation (MS) techniques for direction-of-arrival (DOA) estimation in arbitrary non-uniform sensorarrays. Our analysis take...
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We present the asymptotic performance analysis of the interpolated root-MUSIC and manifold separation (MS) techniques for direction-of-arrival (DOA) estimation in arbitrary non-uniform sensorarrays. Our analysis takes into account boththe effects of a limited number of snapshots and manifold approximation errors.
A novel adaptive beamforming method is proposed without the knowledge of the direction of arrival of the signal of interest. It is a combination of the traditional beamspace processing method and a recently proposed t...
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A novel adaptive beamforming method is proposed without the knowledge of the direction of arrival of the signal of interest. It is a combination of the traditional beamspace processing method and a recently proposed technique called "Domain Weighted Principal Component Analysis (DW-PCA)" and can be applied to the case where the signal of interest is stronger than the interfering signals in both single-path and multi-path environments. Its effectiveness is verified by simulation results.
the design of frequency invariant beamformers for traditional tapped delay-line array system can be formulated as a convex optimization problem and solved efficiently using the interior-point methods. this approach is...
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the design of frequency invariant beamformers for traditional tapped delay-line array system can be formulated as a convex optimization problem and solved efficiently using the interior-point methods. this approach is extended to the recently proposed broadband beamforming system withsensor delay-lines and some variations are proposed to cope withthe specific requirements in the design. Design examples are provided to show the effectiveness of the proposed method.
Calibration of an antenna array is very important for high-resolution direction-of-arrival (DOA) estimation. In this paper, we study this issue for an automotive frequency modulated continuous wave (FMCW) radar whose ...
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Calibration of an antenna array is very important for high-resolution direction-of-arrival (DOA) estimation. In this paper, we study this issue for an automotive frequency modulated continuous wave (FMCW) radar whose low-cost dielectric lens antenna causes, in addition to the coupling between sensor elements and gain or phase mismatch, direction-dependent perturbations to the sensor response. We apply both global and local calibration methods and compare their performance.
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