Underdetermined DOA Estimation of Quasi-Stationary Signals in the Presence of Malfunctioning Sensors
ID:39 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:00 Hits:405 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS15Integrated Radar-Communication Systems and Networks: Advancements, Challenges, and Opportunities

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Abstract
This paper address the problem of direction-ofarrival (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.
Keywords
parameter estimation; direction-of-arrival estimation; malfunctioning sensors; coprime array
Speaker
Weize Sun
Shenzhen University, China

Submission Author
Weize Sun Shenzhen University, China
Yingying Huang Shenzhen University, China
Lei Huang Beijing Institute of Technology, China
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    Jun 08

    2020

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    Jun 11

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  • Jan 12 2020

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