353 / 2020-01-13 03:50:00
DOA Estimation Exploiting Interpolated Multi-Frequency Sparse Array
sparse array; multi-frequency sensing; array interpolation; direction-of-arrival estimation
Draft Accepted
Shuimei Zhang / Temple University, USA
Ammar Ahmed / Temple University, USA
Yimin D. / Temple University, USA
Shunqiao Sun / The University of Alabama, USA
We consider the direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the degrees of freedom as more frequency components are used. A modified sensor interpolation technique is developed to accurately estimate the signal covariance matrix using very few snapshots, thereby eliminating the requirement of a large number of snapshots as in conventional different coarray-based DOA estimation. Simulation results demonstrate high-resolution gridless DOA estimation capability of more targets than the number of physical sensors.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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