Sparse Sensing With Co-Prime Samplers and Arrays

By P. Vaidyanathan, Piya Pal. IEEE Transactions on Signal Processing, 2011

1,574 citations recorded by the source corpus.

Subfields: Computational Mechanics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/32e12e79fad14da18a758715f8f62ae97143b6a0

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In Signal Processing

Citations in the corpus

Remarks on the Spatial Smoothing Step in Coarray MUSIC (2015, background): “To add clarity, the geometry of nested arrays and coprime arrays can be found in Fig.”
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges (2023, background): “Another popular array geometry is coprime array [171], which consists of two sparse ULAs with sensor separation determined by a coprime pair of integers N and M .”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, methodology): “to spatial aliasing phenomena where signals coming from widely different directions cannot be separated [3]. Non-uniform array geometries can provide better spatial resolution than uniform geometries [48], [49]. We use the ELAA terminology to jointly describe a family of research topics that have pr”
A Survey of Sound Source Localization with Deep Learning Methods (2021, methodology): “The same methodology was further applied by Bush and Xiang [2018] with a coprime array consisting of two superimposed, spatially undersampled, uniform linear arrays [Vaidyanathan and Pal, 2010], and by Landschoot and Xiang [2019] in the spherical harmonics domain using a spherical microphone array (”
A Tutorial on Near-Field XL-MIMO Communications Toward 6G (2023, neutral): “A similar issue is also faced by uniform sparse XL-MIMO, whose inter-element spacing is larger than half wavelength [53], [54], as illustrated in Fig.”
Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part I: Fundamentals (2016, background): “They also offer another important advantage over ULAs: with N denoting the number of sensors, these sparse arrays offer O(N 2 ) freedoms for source estimation because their difference coarrays have O(N 2 )-long ULA segments [16], [17].”
Sparse Methods for Direction-of-Arrival Estimation (2016, background): “While the paper [147] focused on co-prime arrays ( [151]), which form a special class of SLAs, ANM-SMV can actually be applied to a broader class of SLAs such as redundancy arrays or even general SLAs.”
A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming (2017, methodology): “To obtain an increased DOFs, a much longer virtual array was derived by calculating the difference coarray of coprime array in [10], where there are more virtual sensors than physical sensors.”
Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation (2018, background): “Recently, the systematically designed sparse arrays including coprime arrays and nested arrays have attracted noticeable attention, owing to their superior performance to the ULA’s [8], [9].”
Generalized Coprime Array Configurations for Direction-of-Arrival Estimation (2015, methodology): “The recently developed coprime array [12], which is referred to as the prototype coprime array in this paper, utilizes a coprime pair of uniform linear subarrays, where one is of sensors with an inter-element spacing of units, whereas the other is of elements with an inter-element spacing of units.”
Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint (2013, methodology): “New geometries [3], [4] of non-uniform linear arrays have been recently proposed to increase the degrees of freedom of the array by studying the covariance matrix of the received signals among different sensors.”
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning (2019, background): “Therefore, it is interesting to explore the optimization of the active element selection, leveraging tools from nested arrays [37], co-prime arrays [38], [39], incoherence frames [40], and difference sets [33], [41].”
Sparsity-based DOA estimation using co-prime arrays (2013, background): “performance and to handle more signals than the number of physical sensors [5, 6].”
Augmented Nested Arrays With Enhanced DOF and Reduced Mutual Coupling (2017, background): “Recently, the introduction and analysis of the nested array [9] and the coprime array [10] have created renewed interest in such NLA geometries.”