DOA Estimation Exploiting Interpolated Multi-Frequency Sparse Array
ID:19 View Protection:ATTENDEE Updated Time:2020-08-05 10:16:59 Hits:1116 Oral Presentation

Start Time:2020-06-09 15:00(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R05Beamforming and Direction-of-Arrival Estimation

Video No Permission

Tips: Only the registered participant can access the file. Please sign in first.

Abstract
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.
Keywords
sparse array; multi-frequency sensing; array interpolation; direction-of-arrival estimation
Speaker
Shuimei Zhang
Temple University, USA

Submission Author
Shuimei Zhang Temple University, USA
Ammar Ahmed Temple University, USA
Yimin D. Temple University, USA
Shunqiao Sun The University of Alabama, USA
Submit Comment
Verify Code Change Another
All Comments
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
Contact Information