array signal covariance matrix
A Novel Approach to Implement Efficient SINR and Side-Lobe Reduction by Using MIMO Radar Covariance Matrix
... in signal-to-noise ratio due to non-coherent ...phased array, a waveform covariance matrix is ...proposed covariance matrix, the values of the cosine function between 0 and π ...
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Limiting spectral distribution of the sample covariance matrix of the windowed array data
... random matrix theory and describe the distribution of eigenvalues of the doubly correlated Wishart ...windowed array data such as source enumeration and subspace tracking ...
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The Direction-of-Arrival and Polarization Estimation Using Coprime Array: a Reconstructed Covariance Matrix Approach
... coprime array has received substantial attention due to its high DOFs ...coprime array can achieve O ( M N ) DOFs with ( M + N ) ...virtual array, we need to calculate the difference coarray to obtain ...
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Wideband Direction of Arrival Estimation Based on the Principal Angle Between Subspaces
... rank signal model method was then proposed which can avoid preliminary DOA estimates and frequency domain processes, but it requires that the wideband signals should be n times differentiable, oversampled ...
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A New High-Resolution and Stable Mv-SVD Algorithm for Coherent Signals Detection
... a covariance matrix by using the eigenvector corresponding to the largest eigenvalue, and then performs singular value decomposition on this ...data covariance matrix to achieve decorrelation ...
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Null broadening adaptive beamforming based on covariance matrix reconstruction and similarity constraint
... Example 1: beam pattern of beamformers. In the first simulation, we test the performance of adaptive beam- forming in nonstationary interference environments, and the quiescent array pattern (QUI) is provided for ...
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Off -Grid Direction-of-Arrival Estimation Using a Sparse Array Covariance Matrix
... the array covariance matrix to improve its ...sparse signal reconstruction in the presence of the off-grid problem introduced in ...sparse matrix rather than a sparse ...
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Array Aperture Extension Algorithm for 2-D DOA Estimation with L-Shaped Array
... sensor array techniques has attracted considerable attention in many applications including radar, sonar, wireless communication, and seismic sensing [1], and lots of high-resolution algorithms were proposed in ...
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Beamforming for Direction of Arrival (DOA) Estimation A Survey
... The proposed robust adaptive beamformers are based on explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance[r] ...
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Low-Complexity Direction-of-Arrival Estimation Based on Wideband Co-Prime Arrays
... virtual array model is generated by directly vectorizing the covariance matrix and then using a sparse signal recovery method to obtain the estimation ...based signal reconstruction ...
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Efficient Underdetermined DOA Estimation Algorithm by Extending Covariance Matrix based on Non-Circularity using Coprime Array
... in array signal ...microphone array systems, sonar and speech ...multiple signal classification (MUSIC) [1], [2],estimation of signal parameters via rotational invariance technique ...
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A Well-Conditioned and Sparse Estimation of Covariance and Inverse Covariance Matrices Using a Joint Penalty
... sample covariance matrix as it is not well defined and instead include the naive Bayes’ and support vector machine ...sample covariance matrix in high-dimensional settings (Bickel and Levina ...
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A novel Architecture for DOA estimation of signals to track target source positions
... a signal offers vast area of research and ...one signal by overlapping the other nearby signal, thus failing to identify the other ...of signal to be detected so that the required ...
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K-MEANS Clustering with a Covariance Matrix
... There are three parameters , and in the proposed distance metric. Since the objective function (1) is linear in A i , it cannot be optimized with respect to A i . To obtain feasible solution the parameter is ...
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Single Seven State Discrete Time Extended Kalman Filter for Micro Air Vehicle
... Abstract— The term Micro Air Vehicles (MAVs) is used for a new type of remotely controlled, semi-autonomous or autonomous aircraft that is significantly smaller than conventional aircrafts. To apply Micro Electro ...
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Noise Estimation of Non Stationary Voiced Speech Using Chirp Model
... speech signal to vary linearly within each time ...corrupted signal [4, ...desired signal, minimizing the ...noise covariance matrix, which deals with the Non Stationarity of speech in ...
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Performance Analysis of Music Algorithm for Smart Antenna
... the signal wavelength. Consider there are L independent signal sources impinging on the antenna array we want to use it for find their direction of arrival ...input signal to each individual ...
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Trading strategies in the Italian interbank market
... There are many issues in computing the variance-covariance matrix. First, we do not observe changes of signed volume in continuous time, but only in form of discrete changes which occur when a transaction ...
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Stock Prediction using ARMA
... The Smart antenna systems plays an important role in wireless communications systems. This paper begins with a brief introduction about a smart antenna and majorly in this paper different type of DOA algorithms. ...
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Asymptotic Comparison of Parameters Estimates of Two-parameter Weibull Distribution
... asymptotic covariance matrix of parameter estimation obtained by different estimation methods based on a transformation of the empirical quantiles of the two-parameters Weibull distribution, was ...
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