Sparse Sensing With Co-Prime Samplers and Arrays

  title={Sparse Sensing With Co-Prime Samplers and Arrays},
  author={Palghat P. Vaidyanathan and Piya Pal},
  journal={IEEE Transactions on Signal Processing},
This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a co-prime pair of sparse samplers. Several properties and applications of co-prime samplers are developed. First, for uniform spatial sampling with M and N sensors where M and N are co-prime with appropriate interelement spacings, the difference co-array has O(MN) freedoms which can be exploited in beamforming and in direction of arrival estimation. An M -point DFT filter bank and an N-point DFT… CONTINUE READING
Highly Influential
This paper has highly influenced 58 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 558 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 339 extracted citations

558 Citations

Citations per Year
Semantic Scholar estimates that this publication has 558 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 25 references

Bryukhanov, “A general method for designing sparse antenna arrays,

  • S. K. Mitra, M. K. Tchobanou, I M.
  • in Proc. Eur. Conf. Circuit Theory Design, Sep…
  • 2005
1 Excerpt

Similar Papers

Loading similar papers…