sparse array
Sparse Array Antenna Signal Reconstruction using Compressive Sensing for Direction of Arrival Estimation
... phased array antenna does not perform according to its specifications or even fails, the antenna pattern ...dense array elements are removed randomly on purpose, one speaks of a sparse array ...
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FMCW sparse array imaging and restoration for microwave gauging
... The present paper utilizes existing methods of image pro- cessing to reduce degenerating and ambiguous effects of a sparse array imaging system. The general method is first to express the forward problem ...
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Sparse Array Signal Processing: New Array Geometries, Parameter Estimation, and Theoretical Analysis
... passive array processing [188], radar [52], [71], [157], digital communications [50], radio astronomy [58], and other applications [57], [77], ...the array performance with respect to various pa- rameters ...
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Off -Grid Direction-of-Arrival Estimation Using a Sparse Array Covariance Matrix
... a sparse array covariance matrix is ...the array covariance matrix is sparsely represented in the form of a vector and then modified to become an off-grid DOA estimation model according to the ...
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A single triangular SS EMVS aided high accuracy DOA estimation using a multi scale L shaped sparse array
... each array consists of two uniform linear arrays (ULAs), and these two ULAs have different inter-element ...L-shaped array. The two arms of this L-shaped scalar array are connected by a six-component ...
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Sparse Array Design for Wideband Beamforming with Reduced Complexity in Tapped Delay-lines
... result, sparse arrays, which allow adjacent sensor sep- arations greater than half a wavelength while still avoiding grating lobes due to the randomness of sensor locations, are a desirable alternative ...a ...
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Comparison Guidelines and Benchmark Procedure for Sparse Array Synthesis
... This paper discusses the problem of benchmarking with reference of the linear sparse arrays synthesis algorithms. Due to their advantages, several methods have been developed: evolutionary techniques [1–4], ...
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DOA Estimation with Sparse Array Under Unknown Mutual Coupling
... Assume that MC only exists between the elements with space distance less than m 2 λ , where λ is the wavelength of incoming signals. We consider a nonuniform linear array consisting of two uniform linear arrays, ...
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Two-Dimensional Angles Estimation Method and its Improved Methods for Single Source with a Sparse Array
... circle array in [12], and it is based on an assumption that the number of the sensors is ...circle array and need extra method to solve the phase ambiguity ...
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Suppression of grating lobes for MMW sparse array setups
... Abstract. For arrays the placement of the single elements determines the angular resolution and the unambiguity in- terval. The width of the total array determines the resolu- tion capabilities. The wider the ...
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Efficient Large Sparse Arrays Synthesis by Means of Smooth Re-Weighted L1 Minimization
... Unfortunately, the synthesis of a sparse array is a much tougher task with respect to the synthesis of regular lattice ones. This difference is due to the fact that the relationship between the radiated ...
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Point source reconstruction with a sparse light sensor array for optical TPC readout
... a sparse array of existing light sensor technology, silicon photomultipliers [20], [21], in order to take fast snaphots of charged particle tracks arriving at an imaging ...
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Channel Estimation Method for Subarray Based Hybrid Beamforming Systems Employing Sparse Arrays
... Abstract—Hybrid beamforming systems are a cost and energy efficient architectural approach for large-scale antenna arrays operating at millimetre-wave frequencies. The separation of the beamforming process into an analogue ...
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An improved expanding and shift scheme for the construction of fourth-order difference co-arrays
... two sparse sub-arrays in the proposed improved EAS (IEAS) scheme: one of them is expanded and shifted, but the value of shift is con- cerned with the consecutiveness of the second sparse ...second ...
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Cosmic Ray Astrophysics using The High Altitude Water Cherenkov (HAWC) Observatory in México
... a sparse array of small water Cherenkov detectors around HAWC– ...a sparse outrigger array to Milagro was added and this dramatically increased the sensitivity of the observatory by being able ...
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Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array
... of sparse array is proposed in this article to estimate the direction-of-arrivals (DOAs) and polarizations of multiple ...constrained sparse array is composed of a dipole-triad, a loop-triad, ...
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Off -Grid DOA Estimation Based on Sparse Representation and Rife Algorithm
... real-valued sparse array covariance vector and Rife ...approximate sparse solution is found by real-valued sparse representation of array covariance vectors (RV-SRACV) algorithm, via ...
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Sparse coding
... with sparse codes, we could pick a random codeword from a set of low activity ratio ...code". Sparse coding is therefore closely related to Independent Component Analysis (Bell and Sejnowski 1997, ...
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Resultants of Composed Polynomials
... The reader might wonder whether one can utilize composition structures for other fundamental operations. In fact, this has already been done for some oper- ations. For examples, dense (Macaulay) resultant, Gr¨ obner ...
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An efficient fingerprint compression algorithm using sparse coding
... is sparse representation in which first initial dictionary has been ...of sparse approximation which involves finding the best matching projection of multidimensional data over complete dictionary ...
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