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.
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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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.
this paper addresses the problems of the blind channel identification and signal extraction in a linear mixture of bounded complex sources. We present a blind criterion that solves these two related problems by confin...
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this paper addresses the problems of the blind channel identification and signal extraction in a linear mixture of bounded complex sources. We present a blind criterion that solves these two related problems by confining a linear component of the observations into a convex-hull of minimum volume. the proposed criterion has its minima only at identification of the subspace of one of the unmixed components of the observations, allowing, therefore, a robust channel identification and signal recovery.
the paper introduces and provides a simple proof of an interesting matrix inversion identity involving subspaces. Using this identity, new insights and interpretations are provided about beam space-based adaptive beam...
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the paper introduces and provides a simple proof of an interesting matrix inversion identity involving subspaces. Using this identity, new insights and interpretations are provided about beam space-based adaptive beamformers and the generalized sidelobe canceller. In addition, system performance measures and losses in terms of the achievable SINR and deflection coefficient can be interpreted and predicted in beam space using the framework of subspaces.
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