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Joint DOA Estimatio...
Joint DOA Estimation and Distorted Sensor Detection Under Entangled Low-Rank and Row-Sparse Constraints
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- Huang, Huiping, 1991 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Zhang, Tianjian (författare)
- The Chinese University of Hong Kong, Shenzhen
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- Yin, Feng (författare)
- The Chinese University of Hong Kong, Shenzhen
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- Liao, Bin (författare)
- Shenzhen University
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- Wymeersch, Henk, 1976 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. - 1520-6149. ; , s. 12851-12855
- Relaterad länk:
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- The problem of joint direction-of-arrival estimation and distorted sensor detection has received a lot of attention in recent decades. Most state-of-the-art work formulated such a problem via low-rank and row-sparse decomposition, where the low-rank and row-sparse components were treated in an isolated manner. Such a formulation results in a performance loss. Differently, in this paper, we entangle the low-rank and row-sparse components by exploring their inherent connection. Furthermore, we take into account the maximal distortion level of the sensors. An alternating optimization scheme is proposed to solve the low-rank component and the sparse component, where a closed-form solution is derived for the low-rank component and a quadratic programming is developed for the sparse component. Numerical results exhibit the effectiveness and superiority of the proposed method.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- distorted sensor detection
- low-rank and sparse decomposition
- quadratic programming
- Direction-of-arrival (DOA) estimation
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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