277 / 2020-01-05 08:08:00
Underdetermined DOA Estimation of Quasi-Stationary Signals in the Presence of Malfunctioning Sensors
parameter estimation; direction-of-arrival estimation; malfunctioning sensors; coprime array
Abstract Pending
Weize Sun / Shenzhen University, China
Yingying Huang / Shenzhen University, China
Lei Huang / Beijing Institute of Technology, China
This paper address the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals based on uniform linear array with malfunctioning sensors. By utilizing the subspace structures of the local second-order statistics of quasistationary signals, a Khatri-Rao subspace approach is developed. Our scheme first collects the local covariance matrices of the source signals and then transfers them into a new virtual linear array which can identify at least twice as much DOAs as to the original physical one. It is also shown that the coprime
configuration is a special case of the proposed model therefore the same techniques can be applied directly. Simulations are also carried out for the comparison of the proposed algorithm and state-of-the-art approaches.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

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  • Dec 31 2020

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IEEE Signal Processing Society
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Zhejiang University
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