Adjacent co-prime array for DOA estimation of real-valued sources

Li Liu; Jia Xu; Zuzhen Huang; Guan Wang; Teng Long

doi:10.1109/RADAR.2017.7944324

Adjacent co-prime array for DOA estimation of real-valued sources

Li Liu, Jia Xu, Zuzhen Huang, Guan Wang, Teng Long

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

It is known that the co-prime array should be more attractive for estimating the direction of arrival (DOA) of multiple sources because it can obtain a high system degrees of freedom (DOFs). In this paper, we proposed a vectorized conjugate augmented method which can further increase the DOFs of the array by exploiting the sum co-array based on real-valued sources. Meanwhile, to obtain more available continuous virtual elements, we proposed an adjacent co-prime array (ACPA), by which, we can estimate N² +3N real-valued sources from different directions with 2N physical elements. Finally, some results of numerical experiments are provided to demonstrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2017 IEEE Radar Conference, RadarConf 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	862-866
Number of pages	5
ISBN (Electronic)	9781467388238
DOIs	https://doi.org/10.1109/RADAR.2017.7944324
Publication status	Published - 7 Jun 2017
Event	2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States Duration: 8 May 2017 → 12 May 2017

Publication series

Name	2017 IEEE Radar Conference, RadarConf 2017

Conference

Conference	2017 IEEE Radar Conference, RadarConf 2017
Country/Territory	United States
City	Seattle
Period	8/05/17 → 12/05/17

Keywords

Adjacent co-prime array (ACPA)
Co-prime array (CPA)
Direction of arrival (DOA)
Real-valued sources
Sum co-array

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10.1109/RADAR.2017.7944324

Cite this

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title = "Adjacent co-prime array for DOA estimation of real-valued sources",

abstract = "It is known that the co-prime array should be more attractive for estimating the direction of arrival (DOA) of multiple sources because it can obtain a high system degrees of freedom (DOFs). In this paper, we proposed a vectorized conjugate augmented method which can further increase the DOFs of the array by exploiting the sum co-array based on real-valued sources. Meanwhile, to obtain more available continuous virtual elements, we proposed an adjacent co-prime array (ACPA), by which, we can estimate N2 +3N real-valued sources from different directions with 2N physical elements. Finally, some results of numerical experiments are provided to demonstrate the effectiveness of the proposed method.",

keywords = "Adjacent co-prime array (ACPA), Co-prime array (CPA), Direction of arrival (DOA), Real-valued sources, Sum co-array",

author = "Li Liu and Jia Xu and Zuzhen Huang and Guan Wang and Teng Long",

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year = "2017",

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doi = "10.1109/RADAR.2017.7944324",

language = "English",

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Liu, L, Xu, J, Huang, Z, Wang, G & Long, T 2017, Adjacent co-prime array for DOA estimation of real-valued sources. in 2017 IEEE Radar Conference, RadarConf 2017., 7944324, 2017 IEEE Radar Conference, RadarConf 2017, Institute of Electrical and Electronics Engineers Inc., pp. 862-866, 2017 IEEE Radar Conference, RadarConf 2017, Seattle, United States, 8/05/17. https://doi.org/10.1109/RADAR.2017.7944324

Adjacent co-prime array for DOA estimation of real-valued sources. / Liu, Li; Xu, Jia; Huang, Zuzhen et al.
2017 IEEE Radar Conference, RadarConf 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 862-866 7944324 (2017 IEEE Radar Conference, RadarConf 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adjacent co-prime array for DOA estimation of real-valued sources

AU - Liu, Li

AU - Xu, Jia

AU - Huang, Zuzhen

AU - Wang, Guan

AU - Long, Teng

PY - 2017/6/7

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N2 - It is known that the co-prime array should be more attractive for estimating the direction of arrival (DOA) of multiple sources because it can obtain a high system degrees of freedom (DOFs). In this paper, we proposed a vectorized conjugate augmented method which can further increase the DOFs of the array by exploiting the sum co-array based on real-valued sources. Meanwhile, to obtain more available continuous virtual elements, we proposed an adjacent co-prime array (ACPA), by which, we can estimate N2 +3N real-valued sources from different directions with 2N physical elements. Finally, some results of numerical experiments are provided to demonstrate the effectiveness of the proposed method.

AB - It is known that the co-prime array should be more attractive for estimating the direction of arrival (DOA) of multiple sources because it can obtain a high system degrees of freedom (DOFs). In this paper, we proposed a vectorized conjugate augmented method which can further increase the DOFs of the array by exploiting the sum co-array based on real-valued sources. Meanwhile, to obtain more available continuous virtual elements, we proposed an adjacent co-prime array (ACPA), by which, we can estimate N2 +3N real-valued sources from different directions with 2N physical elements. Finally, some results of numerical experiments are provided to demonstrate the effectiveness of the proposed method.

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KW - Co-prime array (CPA)

KW - Direction of arrival (DOA)

KW - Real-valued sources

KW - Sum co-array

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M3 - Conference contribution

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BT - 2017 IEEE Radar Conference, RadarConf 2017

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ER -

Adjacent co-prime array for DOA estimation of real-valued sources

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Keywords

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