Source Estimation Using Coprime Array: A Sparse Reconstruction Perspective

Direction-of-arrival (DOA), power, and achievable degrees-of-freedom (DOFs) are fundamental parameters for source estimation. In this paper, we propose a novel sparse reconstruction-based source estimation algorithm by using a coprime array. Specifically, a difference coarray is derived from a copri...

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Vydáno v:	IEEE sensors journal Ročník 17; číslo 3; s. 755 - 765
Hlavní autoři:	Zhiguo Shi, Chengwei Zhou, Yujie Gu, Goodman, Nathan A., Fengzhong Qu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Computer simulation Coprime array Covariance matrices Covariance matrix Direction of arrival Direction-of-arrival estimation DOA estimation Estimation Image reconstruction Linear matrix inequalities Mathematical analysis Matrix methods Parameter estimation power estimation Reconstruction Sensor arrays source enumeration sparse reconstruction
ISSN:	1530-437X, 1558-1748
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Abstract	Direction-of-arrival (DOA), power, and achievable degrees-of-freedom (DOFs) are fundamental parameters for source estimation. In this paper, we propose a novel sparse reconstruction-based source estimation algorithm by using a coprime array. Specifically, a difference coarray is derived from a coprime array as the foundation for increasing the number of DOFs, and a virtual uniform linear subarray covariance matrix sparse reconstruction-based optimization problem is formulated for DOA estimation. Meanwhile, a modified sliding window scheme is devised to remove the spurious peaks from the reconstructed sparse spatial spectrum, and the power estimation is enhanced through a least squares problem. Simulation results demonstrate the effectiveness of the proposed algorithm in terms of DOA estimation and power estimation as well as the achievable DOFs.
AbstractList	Direction-of-arrival (DOA), power, and achievable degrees-of-freedom (DOFs) are fundamental parameters for source estimation. In this paper, we propose a novel sparse reconstruction-based source estimation algorithm by using a coprime array. Specifically, a difference coarray is derived from a coprime array as the foundation for increasing the number of DOFs, and a virtual uniform linear subarray covariance matrix sparse reconstruction-based optimization problem is formulated for DOA estimation. Meanwhile, a modified sliding window scheme is devised to remove the spurious peaks from the reconstructed sparse spatial spectrum, and the power estimation is enhanced through a least squares problem. Simulation results demonstrate the effectiveness of the proposed algorithm in terms of DOA estimation and power estimation as well as the achievable DOFs.
Author	Chengwei Zhou Fengzhong Qu Zhiguo Shi Yujie Gu Goodman, Nathan A.
Author_xml	– sequence: 1 surname: Zhiguo Shi fullname: Zhiguo Shi organization: Coll. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China – sequence: 2 surname: Chengwei Zhou fullname: Chengwei Zhou organization: Coll. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China – sequence: 3 surname: Yujie Gu fullname: Yujie Gu email: guyujie@hotmail.com organization: Adv. Radar Res. Center, Univ. of Oklahoma, Norman, OK, USA – sequence: 4 givenname: Nathan A. surname: Goodman fullname: Goodman, Nathan A. organization: Adv. Radar Res. Center, Univ. of Oklahoma, Norman, OK, USA – sequence: 5 surname: Fengzhong Qu fullname: Fengzhong Qu organization: Ocean Coll., Zhejiang Univ., Zhoushan, China
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Snippet	Direction-of-arrival (DOA), power, and achievable degrees-of-freedom (DOFs) are fundamental parameters for source estimation. In this paper, we propose a novel...
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SubjectTerms	Computer simulation Coprime array Covariance matrices Covariance matrix Direction of arrival Direction-of-arrival estimation DOA estimation Estimation Image reconstruction Linear matrix inequalities Mathematical analysis Matrix methods Parameter estimation power estimation Reconstruction Sensor arrays source enumeration sparse reconstruction
Title	Source Estimation Using Coprime Array: A Sparse Reconstruction Perspective
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