Coprime sampling and the music algorithm

By Piya Pal, P. Vaidyanathan. 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2011

836 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b164823aee685a0c645b2ee1d0ba35194a5dee81

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In Civil and Structural Engineering

In Signal Processing

Citations in the corpus

Sparsity-based DOA estimation using co-prime arrays (2013, methodology): “2, it is proposed in [6] to double the number of array sensor in the first sub-array, which has fewer sensors than the other sub-array.”
Generalized Coprime Array Configurations for Direction-of-Arrival Estimation (2015, methodology): “It is equivalent to the configuration proposed in [13].”
Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part I: Fundamentals (2016, methodology): “A variation [27] of the rank-enhanced spatial smoothing MUSIC algorithm [16] , [26] (SS MUSIC) will be used in this paper.”
Remarks on the Spatial Smoothing Step in Coarray MUSIC (2015, methodology): “Assume monochromatic sources with direction-of-arrival (DOA) information for impinge on a sparse array .”
A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming (2017, background): “By exploiting the property of coprime array, researches have been carried out on high resolution direction-of-arrival (DOA) estimation with increased degrees of freedom (DOFs), where the estimation is accomplished by processing the equivalent received signal of the virtual array with more virtual se”
Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation (2018, methodology): “, a ULA), existing DOA estimation methods including MUltiple SIgnal Classification (MUSIC)-based [17], [38], [40], [41], Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)-based [18], [42], [43], and a series of sparsity-based techniques [9], [22], [44], [45] can be incorp”
Coarrays, MUSIC, and the Cramér–Rao Bound (2016, background): “Recently, the development of co-prime arrays [5]–[8] and nested arrays [9]–[11], has generated renewed interest in sparse linear arrays, and it remains to investigate the performance of these arrays.”
Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint (2013, methodology): “It was shown in [5] It is easy to verify that ˜ w ∈ R (2 MN +1) × 1 is a vector whose elements all equal to zero, except that the ( MN +1) -th element equals to one.”