A Novel Sparse Array Configuration with Low Coarray Redundancy for DOA Estimation in Mobile Wireless Sensor Network
Autor: | Pin-Jiao Zhao, Liangtian Wan, Guo-Bing Hu |
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Rok vydání: | 2021 |
Předmět: |
Article Subject
Underdetermined system Computer Networks and Communications Computer science Perspective (graphical) Direction of arrival TK5101-6720 Degrees of freedom (mechanics) Computer Science Applications Sparse array Telecommunication Redundancy (engineering) Mobile wireless sensor network Algorithm |
Zdroj: | Mobile Information Systems, Vol 2021 (2021) |
ISSN: | 1875-905X 1574-017X |
Popis: | For tacking and localizing sources in the mobile wireless sensor network, underdetermined direction of arrival (DOA) estimation with high-accuracy is a crucial issue. In this paper, a novel sparse array configuration is developed for accurate DOA estimation from the perspective of sum-difference coarray (SDCA). As compared with most of the existing sparse array configurations, the proposed array can effectively reduce the overlap between difference coarray (DCA) and sum coarray (SCA) and can achieve more consecutive degrees of freedom (DOF), more sources can be resolved accordingly. Additionally, the proposed array has hole-free DCA and SDCA. Then, the concept of coarray redundancy ratio (CRR) is introduced for evaluating the coarray overlap quantitatively and the closed-form CRR expressions of the proposed array are derived in detail. Based on the good properties of the proposed array, vectorized conjugate augmented MUSIC (VCAM) is adopted for underdetermined DOA estimation. The theoretical propositions and numerical simulations demonstrate the superior performance of the proposed array in terms of CRR, consecutive DOF, and DOA estimation accuracy. |
Databáze: | OpenAIRE |
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