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Direction-of-arrival (DOA) estimation is a ubiquitous task in array processing. The conventional MUltiple SIgnal Classification (MUSIC) method is search-based and often computationally expensive, particularly in the application of joint azimuth and elevation estimation. In this paper, we propose an adaptive 2-dimensional direction finding framework to track multiple moving targets for arbitrary array...
Fast and accurate measuring depth of anesthesia (DoA) during heavy surgeries (e.g. orthopedic or neurosurgery) is still a challenge. Late estimation of DoA in critical conditions may lead to severe effects such as a comma or conscious state, and jeopardize patient's life accordingly. Recently, several attempts have been made to elicit an accurate DoA index by analyzing electroencephalogram (EEG) signals,...
We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of array and spatial sparsity. Two-step iterative process is proposed. In the first step, the wideband signal is reshaped and used as the input to derive the weight coefficients using a sparse array optimisation method. The weights are then used to scale the observed signal model for which a compressive sensing...
Multi-carrier (MC) multiple-input multiple-output (MIMO) radar offers an additional degree of freedom in the array optimization through the carrier frequencies. In this paper, we study the MC-MIMO array optimization with respect to the direction of arrival (DOA) estimation based on the Cramer-Rao bound (CRB). In particular, we choose the transmit and receive antenna positions as well as the carrier...
This paper investigates different steering techniques for spherical microphone arrays and proposes a time-difference of arrival (TDOA) model for microphones on surface of a rigid sphere. The model is based on geometric interpretation of wavefront incident angle and the extra distance the wavefront needs to travel to reach microphones on the opposite side of a sphere. We evaluate the proposed model...
A common approach to multiple Direction-of-Arrival (DOA) estimation of speech sources is to identify Time-Frequency (TF) bins with dominant Single Source (SS) and apply DOA estimation such as Multiple Signal Classification (MUSIC) only on those TF bins. In the state-of-the-art Direct Path Dominance (DPD)-MUSIC, the covariance matrix, used as the input to MUSIC, is calculated using only the TF bins...
Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) parameters of the impinging signals. For crossed-dipole linear arrays, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. This problem could be solved by extending the geometry to a two-dimensional (2-D) rectangular array so that both...
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer enhanced degrees-of-freedom (DOFs) which can be exploited in both beamforming and direction-of-arrival (DOA) estimation. One class of sparse arrays is the coprime array, composed of two uniform linear subarrays which yield an effective difference co-array with higher number of DOFs. In this work, we...
In the last decade, modified subspace DoA estimation methods such as G-MUSIC have been proposed, in the context where the number of available snapshots N is of the same order of magnitude than the number of sensors M. In this context, the conventional MUSIC algorithm fails in presence of close sources because the empirical covariance matrix is a poor estimate of the true covariance matrix. The G-MUSIC...
Direction-of-arrival (DOA) estimation using non-uniform linear arrays is considered. We focus on the so called "fully augmentable arrays" (FAAs) with full set of covariance lags. In FAAs, the number of covariance lags is usually larger than the number of sensors in the array. Thus, with FAAs more sources than the number of sensors can be identified. Existing DOA estimation algorithms for...
This paper studies the estimation of the desired signal received on the array antenna in the correlated wireless communication environment. The direction of arrival signal applies updated weight to the Bartlett method for estimation the desired signals. In this paper, the proposed method applies the optimal weight vector to the output energy of the Bartlett method. Through simulation, we compare proposed...
In this paper, joint frequency and 2-D direction of arrival (DOA) estimation at sub-Nyquist sampling rates of a multi-band signal (MBS) comprising of P disjoint narrowband signals is considered. Beginning with a standard uniform rectangular array (URA) consisting of M = Mx × My sensors, this paper proposes a simpler modification by adding a N — 1 delay channel network to only one of the sensor. A...
Estimating the direction of arrival (DOA) in sensor arrays is a crucial task in array signal processing systems. This task becomes more difficult when the sensors have gain/phase uncertainty. We have addressed this issue by modeling the problem as a combination of two sparse components, the DOA vector and the gain/phase uncertainty vector. Therefore, a sparse decomposition technique is suggested to...
In this paper, we propose a novel Vandermonde decomposition-based direction-of-arrival (DOA) estimation algorithm by using a coprime array, where increased number of degrees-of-freedom (DOFs) can be achieved in an off-grid manner. Specifically, the equivalent statistics corresponding to an augmented virtual uniform linear array are first derived from the coprime array received signals, and the resulting...
Impact damage may compromise the structural integrity and resistance. When an impact occurs, it is important to check if a structural damage was originated at the impact location. On thin structures, impacts generate guided stress waves (Lamb waves) which can be analyzed to infer the actual impact position. A novel strategy to determine the Lamb wave direction of arrival, generated by an impact occurring...
A method of blind signal separation based on second order statistic analytic equations is provided for a single sensor. This method takes second order statistics equations as restrictive conditions to construct blind separation criterion, then traditional blind separation methods are used to separate source signals through iterative optimization of genetic algorithm. In theory, not only can the coherent...
Microphone array for high-quality audio recording has been realized by dedicated devices. But lack of portability and high cost prevent such system being widely adopted. Today's commercial-off-the-shelf (COTS) smartphones are relatively more convenient for audio recording. However, in order to estimate the target's direction of arrival (DOA), several asynchronous receivers (smartphones) must be precisely...
In this paper, a novel self-calibration algorithm is proposed for two-dimensional (2-D) direction-of-arrival (DOA) estimation based on L-shaped array (LSA) with mutual coupling. In this method, we construct a transformation matrix to eliminate the mutual coupling between subarrays, and then the DOA estimation problem of LSA is transformed into that of uniform linear arrays (ULAs). Then we only need...
This paper presents a novel method for joint frequency and angle estimation of incoming signals. Two-layers compressed sensing method is used to obtain direction wave number and frequency parameters respectively. The algorithm provides high resolution and accuracy in both frequency and direction of arrival (DOA) estimation over the frequency range under the condition of small signal to noise ratio...
This paper introduces alternating direction method of multipliers (ADMM) to decrease the computational workload of DOA estimation which uses the framework of compressive sensing, i.e., Basis Pursuit De-Noising (BPDN). BPDN transforms the DOA estimation problem to an optimization problem. And interior-point method (IPM) is traditionally used to solve this optimization problem. Though IPM can obtain...
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