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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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 Cramér-Rao bounds.
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 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.
In many physical communication systems, the channel noise is known through experimental measurements to be non-Gaussian with an essential impulsive phenomena. the performance of standard signal estimators degrades sub...
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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...
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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.
this paper presents a comparative study of Field Programmable Gate array (FPGA) implementation of standard and truncated multipliers using Very High Speed Integrated Circuit Hardware Description Language (VHDL). Trunc...
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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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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.
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 amplify-and-forward (AF) relay beamforming problems are naturally formulated as indefinite quadratic (nonconvex) optimization programs. the typical methods for solving such optimization problems are to transform t...
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ISBN:
(纸本)9781424479078
the amplify-and-forward (AF) relay beamforming problems are naturally formulated as indefinite quadratic (nonconvex) optimization programs. the typical methods for solving such optimization problems are to transform them into convex semi-definite programs (SDPs) with additional rank-one (nonconvex and discontinuous) constraints. the rank-one constraints are then dropped to obtain solvable SDP relaxed problems and randomization techniques are employed for seeking the feasible solutions to the original nonconvex optimization problems. In many conventional scenarios, the results from solving the rank-one relaxed SDP problems are enough to conclude the solutions since no rank-higher-than-one SDP resulting matrix can be observed. through our simulations, we found that there are also many scenarios that the SDP solvers give high-rank solutions. Hence, in this paper the rank-one constraints are equivalently expressed as reverse convex constraints and are incorporated into the optimization problems. then, we propose an efficient iterative algorithm for solving the nonsmooth reverse convex optimization problems. Our simulations show that our proposed approach yields nearly global optimal solutions.
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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