Top PDF Direction of arrival estimation in a mixture of K-distributed and Gaussian noise
Direction of arrival estimation in a mixture of K-distributed and Gaussian noise
... DoA estimation performance is mostly dictated by the snapshot corresponding to the minimal texture ...power of the texture to 1 ( β = ν −1 ), the average value of the minimal over T ¼8 texture values ...
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Direction of arrival estimation by a modified orthogonal propagator method with spline interpolation
... presents a modified orthogonal prop- agator method (OPM) with spline interpolation for direction of arrival (DoA) ...the noise-free signal model. When noise exists, the main ...
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Direction of arrival estimation by modified orthogonal propagator method with linear prediction in low SNR scenarios
... MANUSCRIPT noise is an additive spatially and temporally white Gaussian noise, theoretically, it 25 only affects the main diagonal elements of the data covariance ...matrix. In ...
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Direction-of-Arrival Estimation through Exact Continuous l20-Norm Relaxation
... relaxation in terms of support recovery. Moreover, we found that a direct minimization of F 0 using a proximal gradient algorithm [35] is unable to consistently recover the support over ...
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Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise
... k ; + K : (13) Consequently, it is quite standard to generate samples drawn from f(R R Rj ; ZZ Z) and f( jR R R; ZZ ...use of a Gibbs-sampler [20], [24], whose procedure is ...
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Direction detector for distributed targets in unknown noise and interference
... Direction detector for distributed targets in unknown noise and interference ...Besson and G. Ricci Adaptive detection of distributed radar targets in ...
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Gaussian Cramer-Rao bound for direction estimation of non-circular signals in unknown noise fields
... on direction of arrival (DOA) estimation accuracy for non-circular Gaussian sources in the general case of an arbitrary unknown Gaussian noise field ...
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Conditional expected likelihood technique for compound Gaussian and Gaussian distributed noise mixtures
... e.g., in HF direction finding applica- tions, external noise is dominated by lightning strikes and being practically white for linear uniform arrays is strongly non- ...Also, in radar ...
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Bounds for maximum likelihood regular and non-regular DoA estimation in K-distributed noise
... contains noise only. Examples of this problem formulation are numerous in the area of passive location and direction ...instance, in the so-called over-sampled 2D HF ...
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An enhanced spatial smoothing technique with ESPRIT algorithm for direction of arrival estimation in coherent scenarios
... effect of the coherency between signals, a number of techniques have been developed to de- correlate the correlation between ...proposed in [17] and modified in [14], [18], [19] ...
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Global disease spread: statistics and estimation of arrival times
... as a continuous variable and, even if the initial condition (at t = 0) of the spreading consists in one single infectious individual in a given city i 0 , all cities have ...
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A Wasserstein-type distance in the space of Gaussian Mixture Models
... distributions of these different images and the corresponding classes provided by EM (each point is assigned to its most likely ...value K = 10 that we have chosen here is the result of ...
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Approximate Unconditional Maximum Likelihood Direction of Arrival Estimation for Two Closely Spaced Targets
... white Gaussian variables [10]. The deterministic and stochastic Cramer Rao Bounds (CRB) have also been derived [10] and it has been shown that the UML is efficient whereas the CML is not, because the ...
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Modal Trajectory Estimation using Maximum Gaussian Mixture
... concept of Gaussian mixture filters, first devoted to minimum variance filtering, occurs in the MTE issue provided by replacing the Sum operator by a Max operator (section ...recall ...
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Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach
... detection of distributed targets has been addressed in [1] and [2]; noise is modeled in terms of independent, com- plex normal random vectors with a common ...
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Bounds for a mixture of low-rank compound-Gaussian and white Gaussian noises
... INTRODUCTION AND PROBLEM STATEMENT I N RADAR applications, the optimal processing scheme for detecting a target buried in disturbance (typically clutter and thermal noise) consists, ...
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Significant edges in the case of a non-stationary Gaussian noise
... Abstract In this paper, we propose an edge detection technique based on some local smoothing of the image followed by a statistical hypothesis testing on the ...as a zero-crossing of ...
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Estimation and global control of noise reflections
... located in the dipole null plane; the resulting inverse problem for the identification of the scattering filter was very poorly conditioned and no filters could be identified for an accurate ...
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The role of regularization in classification of high-dimensional noisy Gaussian mixture
... d, and number of samples n are large with a fixed ratio α = n/d has largely non-intuitive ...behaviour. A number of the associated statistical surprises are for example pre- sented ...
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Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
... as a reference. These scores were obtained with a classic EM algorithm for Gaussian ...fitting a Gaussian mixture on a data set is equivalent to building a cluster ...
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