P
Piya Pal
Researcher at University of California, San Diego
Publications - 122
Citations - 5688
Piya Pal is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Matrix (mathematics) & Covariance matrix. The author has an hindex of 23, co-authored 109 publications receiving 4495 citations. Previous affiliations of Piya Pal include California Institute of Technology & University of Maryland, College Park.
Papers
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Journal ArticleDOI
Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
Piya Pal,P.P. Vaidyanathan +1 more
TL;DR: A new array geometry, which is capable of significantly increasing the degrees of freedom of linear arrays, is proposed and a novel spatial smoothing based approach to DOA estimation is also proposed, which does not require the inherent assumptions of the traditional techniques based on fourth-order cumulants or quasi stationary signals.
Journal ArticleDOI
Sparse Sensing With Co-Prime Samplers and Arrays
P.P. Vaidyanathan,Piya Pal +1 more
TL;DR: This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a co-prime pair of sparse samplers and shows that the co-array based method for estimating sinusoids in noise offers many advantages over methods based on the use of Chinese remainder theorem and its extensions.
Proceedings ArticleDOI
Coprime sampling and the music algorithm
Piya Pal,P. P. Vaidyanathan +1 more
TL;DR: In this paper, a new approach to super resolution line spectrum estimation in both temporal and spatial domain using a coprime pair of samplers is proposed, where the difference set of this pair of sample spacings (which arise naturally in computation of second order moments) can be generated using only O(M + N) physical samples.
Journal ArticleDOI
Theory of Sparse Coprime Sensing in Multiple Dimensions
P.P. Vaidyanathan,Piya Pal +1 more
TL;DR: Multidimensional DFT filter banks for applications such as beamforming, with commuting coprime lattice arrays, are described, and it is shown that a very dense tiling of the frequency plane can be obtained from the two sparse lattice array.
Journal ArticleDOI
Nested Arrays in Two Dimensions, Part I: Geometrical Considerations
Piya Pal,P.P. Vaidyanathan +1 more
TL;DR: The design of the two dimensional nested array gives rise to several interesting geometrical orientations of the co-array which are addressed in detail, and it is shown how the orientations can be manipulated to yield more virtual sensors in a continuum on the dense lattice.