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Found 4 papers, 0 papers with code
Harnessing Holes for Spatial Smoothing with Applications in Automotive Radar
We explore deliberately introducing holes into this virtual array to leverage resolution gains provided by the increased aperture.
Effect of Beampattern on Matrix Completion with Sparse Arrays
In this paper, we make advances towards solidifying this understanding by revealing the role of the physical beampattern of the sparse array on the performance of low rank matrix completion techniques.
Super-resolution with Sparse Arrays: A Non-Asymptotic Analysis of Spatio-temporal Trade-offs
Our results also formally prove the well-known empirical resolution benefits of sparse arrays, by establishing that the minimum separation between sources can be $\Omega(1/P^2)$, as opposed to separation $\Omega(1/P)$ required by a ULA with the same number of sensors.
Super-resolution with Binary Priors: Theory and Algorithms
Distinct from prior works which exploit sparsity in appropriate domains in order to solve the resulting ill-posed problem, this paper explores the role of binary priors in super-resolution, where the spike (or source) amplitudes are assumed to be binary-valued.
