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In this work, the problem of direction finding is addressed. We show the Direction Of Arrival (DOA) estimation can be realized through the non-unitary joint diagonalization of spatial quadratic time-frequency. We use an approach of selection of time-frequency points to construct the set of matrices which will be jointly diagonalized to estimate the noise subspace. The main advantage of this method...
This paper derives the stochastic Cramér-Rao bound (CRB) for the direction of arrival (DOA) estimation accuracy for noncircular sources in the noise modelled by Cauchy process, and expands it to the general alpha-stable noise situations. The performance of the EXC-NC-MUSIC, which is proposed by the authors, in a wide range of impulsive noise environments is examined via simulation experiments and...
When the physical aperture of array is limited, the synthetic aperture is usually used to improve the spatial resolution of the underwater target azimuth estimation. However, due to the horizontal-longnitudinal coherence of the underwater signal, it is impossible to increase the resolving power by aperture extending unrestrictedly. A new DOA estimation method by using compressive sensing with passive...
In order to enhance the performance of the existing beamformer-based direction-of-arrival (DOA) estimation methods, a novel DOA estimation method based on the sparse and low-rank decomposition of the sample covariance matrix is proposed. First, the sample covariance matrix is divided into the covariance matrix of the desired signal and interference as well as that of noise. The first component is...
This paper proposes a practical channel estimation scheme for downlink 60GHz indoor systems with the massive uniform rectangular array (URA) at base station (BS). Through array signal processing theory, the parameter of each channel path can be decomposed into the angular information and the channel gain information that can be estimated separately. We first prove that the two dimensional Discrete...
In this paper, we present a method for real-time 3D sound sources mapping using an off-the-shelf robotic perception sensor equipped with a linear microphone array. Conventional approaches to map sound sources in 3D scenarios use dedicated 3D microphone arrays, as this type of arrays provide two degrees of freedom (DOF) observations. Our method addresses the problem of 3D sound sources mapping using...
MUSIC algorithm is one of the most widely known and used signal source estimation techniques. A presented paper deal with an experiment of direction of arrival (DOA) estimation of signal sources using two subarrays without coherency or with rough synchronization. The performance of DOA estimation improves with increasing the number of elements of antenna array. In this case, a practical measurement...
For the problem that traditional DOA (Direction Of Arrival) estimation algorithms often fail to deal with coherent signals, a new high accuracy DOA estimation method based on weighted noise subspace is proposed. Considering the received data matrix obtained by uniform liner array, the proposed method makes full use of the cross-covariance information of it to construct an augmented matrix and performs...
In the present paper, we consider a co-array as a coprime array or a nested array. Pal et al. proposed a method to extend a co-array to a larger virtual array, then implemented the spatial smoothing technique to construct the covariance matrix of a virtual uniform linear array (ULA). Thus subspace-based direction of arrival (DOA) estimation algorithms can be used to detect more sources than the number...
In millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems, channel estimation in the presence of sparse multipath fading boils down to two-dimensional (2D) direction-of-arrival (DOA) estimation followed by path gain estimation. To achieve super-resolution angle estimation at affordable complexity, this paper develops an efficient channel estimation approach by applying a truncated...
The estimator bank approach allows improving the performance of direction of arrival (DOA) estimation in the area of low signal-to-noise ratio. In the paper, the estimator bank is formed from the modified Beamspace Root-MUSIC estimator using resampling by adding pseudo-noise. The illumination of outlying roots of the modified beamspace Root-MUSIC polynomial is used instead of elimination of entire...
Nowadays, wireless sensor networks (WSNs) have become omnipresent. Also location-based services become more and more popular. In this context, energy- and location-awareness are essential properties of modern sensor networks. Addressing low-power positioning, received signal strength indicator (RSSI)-based direction finding is a prospective approach for WSNs providing location-based services. However,...
This paper proposes a direction of arrivals estimation technique for antenna arrays consider the mutual coupling effect. A receiving signal process modeling is obtained accurately via building the array system electromagnetic transient space-time model, and the mutual coupling effect is included in the synthesis procedure automatically in the model. The computer simulation proved the proposed method...
A novel methodology is implemented for detection of coherent signals in direction of arrival estimation of linear arrays. The available techniques for DoA estimation of incoherent signal is modified by introducing spatial smoothing technique. This spatial smoothing technique is further used to de-correlate the signals before applying MUSIC algorithm for DoA estimation. DoA estimation is also performed...
Conventional beamforming technique suffers from the Rayleigh resolution limit and can't obtain high resolution DOA estimation. To solve this problem, we propose a new Bayesian Compressive Sensing model based on Generalized Cauchy distribution family and develop a novel DOA estimation method. To exhibit superior performance in sparse approximation of the Generalized Cauchy distribution, a detailed...
In this paper, we address the direction-of-arrival (DOA) estimation problem of hybrid completely polarized (CP) and partially polarized (PP) source signals with arbitrary polarimetric arrays. Firstly, oblique projection filtering operators, which are insensitive to the state of polarization of signals, are used to separate potential source signals in the spatial domain. Secondly, the DOA estimates...
Sparsity and low-rank structures are recently considered as an important property in various signal processing problems. They have been widely applied in image processing, communication, computer vision, pattern recognition, radar, etc. The main purpose of this paper is to provide a review on sparse representation and low-rank approximation, and their applications in sensor signal processing. Three...
Subspace techniques are widely used for direction of arrival (DOA) problems in telecommunications and position location applications for estimating the location of sources from where the signal is originated. This source estimation problem is analogues to the source estimation problem in EEG signal processing commonly termed as EEG inverse problem. The EEG inverse problem goes for estimation of active...
Under the influence of the radome of the active and passive radar, the uniform circular array (UCA) becomes non-uniform in the electromagnetic performance, so the accuracy of direction of arrive (DOA) estimation is not high. This paper presents a universal look-up table algorithm for 5-element circular array to solve the problem. Firstly, we traverse the view field of the radar to obtain the long...
The direction-of-arrival (DOA) estimation for the long-distance underwater acoustic sources usually suffers from low levels of signal-to-noise ratio (SNR) and insufficient snapshot data. Therefore, a novel signal self-nulling based DOA estimation algorithm is proposed. First, assume that the angular sector, where the desired signal is located, is known. Then, the beampattern of the minimum variance...
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