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Direction of Arrival (DOA) estimation implies estimating the direction concerning angles of arrival of the received signals by an array of elements. This paper presents a review to a comparative analysis of several DOA estimation algorithms broadly classified into Beamforming (Classical & Capon's) and Subspace-based techniques (Multiple Signal Classification (MUSIC), Minimum Norm and Root-MUSIC)...
Direction of Arrival (DOA) estimation of signal deals in estimating the direction from where the signal is originating by joint processing the multi-channel signals captured by the array of sensors. This paper presents the comparison between various Direction of Arrival Estimation techniques for the speech signal. Short-Time Fourier Transform (STFT) is used as a tool to transform the time domain signal...
Radiation-induced soft errors are a major reliability concern in circuits fabricated at advanced technology nodes. Online soft-error vulnerability estimation offers the flexibility of exploiting dynamic fault-tolerant mechanisms for cost-effective reliability enhancement. We propose a generic run-time method with low area and power overhead to predict the soft-error vulnerability of on-chip memory...
Uniform linear array is a kind of very important underwater acoustic detection equipment, it mainly divided into two kinds: rigid array and flexible array. Rigid array is the best means to obtain ideal detection result, but the layout and recovery is difficult. Flexible array is used more popular for its easy to operation, but the array shape is difficult to maintain. Shape distortion of the flexible...
Channel coding and information theoretic approaches have been utilized in conventional non-volatile memories to overcome their inherent design limitations of leakage, coupling and refresh rates. However, the continuous scaling and integration constraints set on the current devices directed the attention towards emerging memory technologies as suitable alternatives. Memristive devices are prominent...
Passive sources localization in the presence of strong interferences is generally a difficult problem. A sparse-representation-based adaptive interference suppression (SRAIS) method is proposed in this paper for interference suppression and bearing estimation, which can reduce the power loss of the TOI signal and have more accurate direction-of-arrival (DOA) estimation, especially when the input powers...
For USBL (ultra-short baseline) positioning system, orthogonal receiving arrays with three elements distributed in ‘L’-shape or four elements forming a cross are generally used. With this configuration, the accuracy of the localization results depend on the accuracy of the coordinates of array elements, and sometimes the quadrant of the results may be significantly changed. Using redundant data measured...
We address the problem of pilot decontamination for massive MIMO systems for finite dimensional channels, wherein the channel vectors between the users and the base station are composed of a finite number of discrete paths. The pilot decontamination problem is addressed using high-resolution parametric spectral estimation methods, such as root multiple-signal classification (root-MUSIC), for resolving...
In this paper we propose an adaptive multi user (MU) single-cell hybrid precoding strategy that iteratively designs the precoders/combiners exploiting the reciprocity of time division duplex (TDD) millimeter wave systems. The minimum mean square error (MMSE) criterion is considered to design the combiners, which relies on second order statistics of the channel. The covariance of the received signal...
This paper investigates sound source localisation using an ad-hoc microphone array, where the microphones arbitrarily distributed in a room without knowledge of their locations. The proposed method is applicable to scenarios where microphones positions do not comply with conventional microphone arrays such as a Uniform Linear Array (ULA) and large aperture microphone panels. The proposed method utilizes...
This paper introduces a new direction of arrival (DOA) estimation method for Doppler radars with Multiple-input multiple-output (MIMO) systems, which have been used in various applications, for example, detection and classification of indoor human activities. To improve DOA estimation accuracy, the temporal-spatial virtual array based on Doppler shift of a moving target has been proposed; hereafter...
In this paper, we address the problem of direction-of-arrival (DOA) estimation using a novel spatial sampling scheme based on difference set (DS) codes, called DS-spatial sampling. It is shown that the proposed DS-spatial sampling scheme can be modeled by a deterministic dictionary with minimum coherence. We also develop a low complexity compressed sensing (CS) model for DOA estimation. The proposed...
Joint estimation on direction of departure (DOD) and direction of arrival (DOA) is a key problem in bistatic multiple-input multiple-output (MIMO) radar. The conventional singular value decomposition (SVD) or eigenvalue decomposition (EVD) based subspace algorithms have heavy computational burden when the large transmit/receive array size and snapshots are required. In this paper, a low complexity...
This paper presents a computationally efficient Direction-Of-Arrival (DOA) estimation method for Uniform Rectangular Array (URA), which is effective for both correlated and uncorrelated sources. The proposed method is an extension of our previous study for Uniform Linear Array (ULA), basically based on the relation between the elements of array covariance matrix, does not need iteration, angular peak-search...
High-resolution direction of arrival (DOA) estimation has always been an issue in signal processing field. Most of conventional methods such as Multiple Signal Classification (MUSIC), suffer from lack of resolvability in low signal to noise ratio (SNR) or small number of snapshots whereas computation cost of new methods are considerable. The Compressive MUSIC (CS-MUSIC) algorithm deals with joint...
This research explored the effect of different presentation orders on processing time and time estimation, from the perspective of verbal working memory dual-task mode task. 108 participants took part in memorizing order or disorder French word, it showed that the presentation order significantly shortens the processing time and estimation time, thus it proved that the orderly presentation can enhance...
We consider the problem of estimating the singular vectors of low-rank signal matrices buried in noise in the setting where the singular vectors are assumed to be Kronecker products of three unknown vectors. We propose several algorithms for estimating such singular vectors, which explicitly exploit the Kronecker structure of the underlying vectors. We demonstrate improved estimation accuracy and...
This paper focuses on applying a fourth-order cumulant with spatial smoothing to direction of arrival (DOA) estimation of coherent signals based on a uniform circular array (UCA). We use three types of cumulant matrices in the so-called mode space with spatial smoothing to handle this problem. The DOA estimation performance comparisons of these cumulant matrices with spatial smoothing are shown by...
Automatic approximations of brain volumes are very useful in various researches and clinical practises. The conventional hand tracing is time consuming and the level of accuracy depends on the individual. The present work aims at the automatic estimation of brain volume and 3-D visualization using VTK in a pythonic environment after the edge enhancement and unsharp masking by quadratic filters for...
The Direction of Arrival (DoA) estimation of signals impinging on a failed antenna array is approached as an optimization problem and solved by using particle swarm optimization (PSO) technique with single snapshot. The performance and usefulness of this algorithm is analyzed under different failure scenarios and also in different noisy environment. In this paper we have made a study on the tolerance...
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