In this paper we derive a generic signalprocessing model for oversampled linear antenna arrays based on network theory and Nyquist sampling theory. The theoretical model is verified with experimental data collected o...
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ISBN:
(纸本)9781467310710
In this paper we derive a generic signalprocessing model for oversampled linear antenna arrays based on network theory and Nyquist sampling theory. The theoretical model is verified with experimental data collected on an HF OTHR receive array.
A signalprocessing algorithm for estimating the direction of arrival of a harmonic signal using only a single sensor is proposed. The method is based on the recently invented architecture called CAROUSEL, which makes...
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ISBN:
(纸本)9781479914814
A signalprocessing algorithm for estimating the direction of arrival of a harmonic signal using only a single sensor is proposed. The method is based on the recently invented architecture called CAROUSEL, which makes use of the Doppler effect caused by observing signals using the sensor in a circular motion. The proposed method estimates the direction of arrival from the amount of phase shift of a harmonic component caused by the Doppler effect. Simulation using various harmonic signals including synthesised speech phonemes prove the proposed algorithm is able to accurately estimate the direction of arrival of the harmonic signals.
Seismic receiver arrays that are used in modem 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 reco...
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ISBN:
(纸本)9781424422401
Seismic receiver arrays that are used in modem 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.
The estimation of directions of arrival is formulated as the decomposition of a 3-way array into a sum of rank-one terms. However, a low-rank tensor approximation does not always exist. We propose an optimization tech...
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ISBN:
(纸本)9781479914814
The estimation of directions of arrival is formulated as the decomposition of a 3-way array into a sum of rank-one terms. However, a low-rank tensor approximation does not always exist. We propose an optimization technique based on differentiable angular constraints on the factors, ensuring the existence of the low-rank tensor decomposition. The efficiency of the proposed algorithm is demonstrated via numerical simulations, and compared to Cramer-Rao bounds.
In this paper, we discuss high-resolution target sensing through the exploitation of multi-frequency sparse arrayprocessing. By using simple design examples of a three-element sensorarray coupled with the sensing si...
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ISBN:
(纸本)9781728119465
In this paper, we discuss high-resolution target sensing through the exploitation of multi-frequency sparse arrayprocessing. By using simple design examples of a three-element sensorarray coupled with the sensing signals consisting of three well-designed frequencies, we provide insights to achieve a high number of consecutive lags, unique lags, and array aperture. Such multi-frequency sensorarrays with reduced number of sensors can be attractive in many applications to achieve effective sensing with a low cost.
Several methods have been developed which allow the estimation of the location of an existing source with considerable accuracy in the absence of multipaths. However, if, in addition to the Line-of-Sight (LOS) path, n...
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ISBN:
(纸本)9781479914814
Several methods have been developed which allow the estimation of the location of an existing source with considerable accuracy in the absence of multipaths. However, if, in addition to the Line-of-Sight (LOS) path, non-LOS (NLOS) paths are also present, then all existing localisation algorithms dramatically fail to estimate the location of the source. In this paper, a passive arrayprocessing algorithm is proposed, which, if used prior to a localisation approach, suppresses all the multipath contributions in the received signal except for that of the LOS path. The performance of the proposed algorithm is evaluated through computer simulation studies.
Many real world applications of target tracking and state estimation are non-linear filtering problems and can therefore not be solved by closed-form analytical solutions. In the recent past, tensor based approaches h...
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ISBN:
(纸本)9781538647523
Many real world applications of target tracking and state estimation are non-linear filtering problems and can therefore not be solved by closed-form analytical solutions. In the recent past, tensor based approaches have become increasingly popular due to very effective decomposition algorithms, which allow the representation of discretized, high-dimensional data in compressed form. In this paper, a solution of the prediction step for a Bayesian filter is proposed, where the probability density function (pdf) is approximated by a tensor in Hierarchical Tucker Decomposition. It is shown, that the computation of the predicted pdf is about five times faster than the previously proposed Canonical Polyadic Decomposition format.
Direction of arrival (DOA) estimation from array observations in a noisy environment is discussed. The source amplitudes are assumed to be correlated zero-mean complex Gaussian distributed with unknown covariance matr...
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ISBN:
(纸本)9781538647523
Direction of arrival (DOA) estimation from array observations in a noisy environment is discussed. The source amplitudes are assumed to be correlated zero-mean complex Gaussian distributed with unknown covariance matrix. The DOAs and covariance parameters of plane waves are estimated from multi-snapshot sensorarray data using sparse Bayesian learning (SBL). The performance of SBL is evaluated in terms of the fidelity of the reconstructed coherency matrix of the estimated plane waves.
PATENT PENDING. Time-of-arrival (TOA) localization is tightly coupled with sensor time synchronization. Synchronization can be obtained by GPS, atomic clocks or message exchange protocols. All methods affect the energ...
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ISBN:
(纸本)9781467310710
PATENT PENDING. Time-of-arrival (TOA) localization is tightly coupled with sensor time synchronization. Synchronization can be obtained by GPS, atomic clocks or message exchange protocols. All methods affect the energy sources and the synchronization protocols use valuable bandwidth. We present self-synchronized localization algorithms that rely exclusively on TOA measurements performed by the sensor network on passing sources rendering it completely passive. Localization performance is close to that provided by a perfectly synchronized network. Such algorithms can also be used for sensor network synchronization and communication networks in general.
作者:
Zatman, MMIT
Lincoln Lab Lexington MA 02420 USA
Most adaptive arrayprocessing schemes assume that the interference is 'wide sense stationary'. However, in practice this assumption is often violated. For example there may be motion of either the array and/o...
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ISBN:
(纸本)0780363396
Most adaptive arrayprocessing schemes assume that the interference is 'wide sense stationary'. However, in practice this assumption is often violated. For example there may be motion of either the array and/or the interference during the processing interval. The asymptotic performance of two adaptive beamforming algorithms which compensate for this type of changing interference scenario are analyzed in this paper.
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