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The DOA estimation problem for wideband signals has attracted much attention in the past years, and how to utilize and derive the common DOA information among frequency bins is the essential question. We address the wideband DOA estimation problem in this paper, and to solve this problem we propose a joint sparse Bayesian learning algorithm based on the sparse signal representation (SSR) of the covariance...
Due to waveguide dispersion and array shape distortion, target's energy spreads in the vicinity of direction of arrival in spatial orientation spectrum. To solve this problem, a spatial spectrum estimation method using beam signal spectral decomposition is proposed. Utilizing correlation between signals which spread in multiple beams, beam signal spectrum is decomposed using singular value decomposition...
In this paper, we consider the direction-of-arrivals (DOAs) estimation of coherent narrowband signals impinging on an arbitrary linear array in a computational efficient way. A new interpolation transform based modified Capon beam-forming method is proposed without eigendecomposition, where the arbitrary linear array is transformed to a virtual uniform linear array (ULA) by utilizing the interpolation...
In this paper, we present a greedy sensor selection algorithm for minimum variance distortionless response (MVDR) beamforming under a modular budget constraint. In particular, we propose a submodular set-function that can be maximized using a linear-time greedy heuristic that is near optimal. Different from the convex formulation that is typically used to solve the sensor selection problem, the method...
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...
This paper provides a second-order (SO) analytical performance analysis of the 1-D Standard ESPRIT algorithm. Existing performance analysis frameworks are based on first-order (FO) approximations of the parameter estimation error, which are asymptotic in the effective signal-to-noise ratio (SNR), i.e., they become exact for either high SNRs or a large sample size. However, these FO expressions do...
In this paper, a new algorithm to suppress the interferences for Direction-of-Arrival(DOA) estimation is presented. The method is based on the property of the noise subspace invariant to power of emitters. With theoretical analysis and computer simulations, it is shown that the proposed method has a good performance on signal DOA estimation under disturbances.
The effect of a finite distance of the signal source on the performance of an Applebaum array has been studied extensively in the literature. It has been concluded that unless the Applebaum Array is focused at the exact source location, the degradation of the output signal-to-noise ratio becomes unacceptable. The Automatic focusing technique (AFT) developed by the author for long wavelength imaging...
This paper deals with the near-field DOA-Matrix method for source localization using a uniform linear array antenna. In general, the mutual coupling between array elements degrades the DOA estimation accuracy. In this paper, we investigate the influence of mutual coupling in source localization using the near-field DOA-Matrix method and the improved method.
Khatri-Rao (KR) product increases the number of elements virtually and enables to estimate more incoming waves in direction-of-arrival (DOA) estimation using array antenna. The DOA estimation with the KR scheme, however, makes the estimation difficult because the scheme makes the data coherent. The sparse signal reconstruction is a method realizing the DOA estimation regardless of the signal correlation...
In this paper, we modify the classic manifold separation technique (MST), aiming to reduce its dependence on high signal-to-noise ratio (SNR) measuring environment. According to the analysis of the array response, it is demonstrated that to maintain a correct phase relationship between the received data at different calibration angles is indispensable for the application of MST. Thus, we slightly...
Detection of particles from a far-field source is important in many applications, including optical communications, nuclear hazard detection, radioactivity and detection of cosmic particles. In this paper, we revisit the problem of detection of far-field particle sources using a cubical array. For the case when the source location is deterministic, assuming Poisson arrival of particles, we propose...
This paper addresses the problem of blind source enumeration in the colored and unbalanced noise environment, where the number of sources can be equal to or more than the number of observers. In the proposed algorithm, the Gerschgorin Disk Estimator (GDE) is used as the detection rule and fourth-order cumulant of the observed data is used to estimate Gerschgorins radii. Compared with the minimum description...
This paper proposed a high resolution algorithm using single vector hydrophone based on moving sources passing characteristic measuring system. The algorithm transfers the time domain result of the hydrophones into virtual array with spatial distribution characteristics and specified interval between array elements. With the virtual array, positioning with high resolution can be obtained by the algorithm...
Several outlet glaciers in Greenland are retreating and speeding up, and Greenland ice sheet's contribution to sea level is increasing over the last decade. Information on ice thickness and bed conditions is needed in order to understand why these outlet glaciers are retreating and speeding up, and to develop both diagnostic and prognostic models. These outlet glaciers contain very lossy ice and have...
For Automatic Generation Control System (AGC) in a large-scale photovoltaic power plant with numerous string PV inverters, calculating capability, storage volume, and communication turn into bottlenecks. To deal with these issues, a new three-level AGC topology is proposed in this paper. An AGC subsystem module will be integrated in the string PV array with a group of inverters to serve as the intermediate...
In this paper we consider the problem of direction of arrival estimation from a set of beamformed measurements corrupted by correlated Gaussian noise. We investigate the performance of sparse signal processing (SSP) on correlated and pre-whitened data, focusing on accuracy and false alarm rate. We considered both a fixed-grid and a gridless method, and performed several simulations. From our analysis...
In this work, the total focusing method is used to image defects in a high density polyethylene pipe. The viscoelastic attenuation of this material corrupts the images with a high electronic noise. To improve the image quality, the decomposition of the time reversal operator method is combined with spatial Walsh-Hadamard coded transmissions before calculating the images.
In this paper, we investigate the direction-of-arrivals (DOAs) estimation of a mixed noncoherent and coherent signals impinging on a uniform linear array (ULA). The DOAs of noncoherent and coherent signals are estimated separately, and a new oblique projector is obtained to isolate the coherent signals from the noncoherent ones. Compared with previous works, the proposed method overcomes the “saturation...
Traditional distinction and recognition methods of electromagnetic radiation source have some shortcomings with highly error and long time. Therefore, Wilson algorithm, Lee algorithm and near field wave impedance theory have been proposed to analyze radiation source characteristics. And it presented common-mode radiation noise testing method of poor-average algorithm and differential mode noise testing...
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