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In order to solve the coherent problem of Orthogonally Matched(OMP) Pursuit algorithm in sparse reconstruction, the feature vector corresponding to large eigenvalue of SVD is constructed by using received data, and two improved methods are proposed. Both methods reconstruct the angle through the feature vector, and can reconstruct the angle information accurately without knowing the number of the...
In this paper, a computationally efficient direction of arrival (DOA) estimation algorithm without subspace decomposition is presented with a uniform linear array (ULA). The ULA is divided into two sub-arrays and two noise-free cross-correlation matrices are computed using the data vectors received by the two sub-arrays. By rearranging the elements of a vector formed from the new constructed cross-correlation...
The recovery of polarization and direction of arrivals (DOAs) of multiple targets locating at the same range but different angles in the forward-looking direction is of great trouble for conventional active radar. Based on compressive sensing (CS) framework, a joint polarization-DOA estimation strategy for single-input-multiple-output (SIMO) radar is proposed, which can reconstruct the sparse target...
A simple but effective classification and localization method is presented to distinguish the near- and far-field sources from mixed sources, and estimate the range parameters of near-field sources. To distinguish the near- and far-field sources, He et al. fall back on the oblique projection technique (OPT), which would yield extra estimation errors. In this paper, we do not resort to any other estimation...
In this paper, based on the subspace method, a novel algorithm, which does not require match procedure, is proposed to estimate 2-D direction of arrival (DOA) with the L-shaped array. The novel train of thought for DOA estimation includes the following two steps: 1) using the 1-D uniform linear subarray (ULSA) along the $z$ axes, obtain the elevation angle estimates based on the polynomial root...
A frequency estimation algorithm of sinusoidal signal was presented. It consists of a coarse frequency estimation followed by fine frequency estimation. Discrete Fourier transform (DFT) determines the coarse frequency estimation and least squares estimator (LSE) makes it possible to get the optimal frequency difference estimation. Subsequently, we derive the relationship between the asymptotic error...
This paper presents a new method for gesture recognition of Human beingspsila hand. This method integrates the features of shape, color and orientation histograms, which are extracted from images, and estimate the comparability with all the different types of gestures by a proposed Expectation-Maximization algorithm in Gaussian mixture model. The classification results were presented based on the...
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