Co-prime array processing with sum and difference co-array

Xiaomeng Wang; Xin Wang; Xuehong Lin

doi:10.1109/ACSSC.2015.7421152

Co-prime array processing with sum and difference co-array

Xiaomeng Wang
, Xin Wang
, Xuehong Lin

Electrical Engineering

Stony Brook University
Beijing University of Posts and Telecommunications

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

30 Scopus citations

Abstract

Among various sparse-array techniques, co-prime array is found to be more attractive because of its high efficiency and simplicity. In this paper, we propose a scheme that can exploit both sum and difference co-arrays to form a larger size of continuous virtual array while keeping the conventional co-prime array configuration. Compared to the method that needs to extend the sensor array size to ensure the continuity of virtual array, our scheme can reduce the number of required physical sensors while still obtaining the same or even more degrees-of-freedomthat can be exploited in direction-of-arrival (DOA) estimation. Simulation results demonstrate the effectiveness of our proposed method in achieving lower-cost, faster, and more accurate DOA estimation.

Original language	English
Title of host publication	Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	380-384
Number of pages	5
ISBN (Electronic)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421152
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2016-February
ISSN (Print)	1058-6393

Conference

Conference	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

Keywords

Co-prime array
difference co-array
direction-of-arrival (DOA) estimation
sum co-array

Access to Document

10.1109/ACSSC.2015.7421152

Cite this

Wang, X., Wang, X., & Lin, X. (2016). Co-prime array processing with sum and difference co-array. In M. B. Matthews (Ed.), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 (pp. 380-384). Article 7421152 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2016-February). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421152

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title = "Co-prime array processing with sum and difference co-array",

abstract = "Among various sparse-array techniques, co-prime array is found to be more attractive because of its high efficiency and simplicity. In this paper, we propose a scheme that can exploit both sum and difference co-arrays to form a larger size of continuous virtual array while keeping the conventional co-prime array configuration. Compared to the method that needs to extend the sensor array size to ensure the continuity of virtual array, our scheme can reduce the number of required physical sensors while still obtaining the same or even more degrees-of-freedomthat can be exploited in direction-of-arrival (DOA) estimation. Simulation results demonstrate the effectiveness of our proposed method in achieving lower-cost, faster, and more accurate DOA estimation.",

keywords = "Co-prime array, difference co-array, direction-of-arrival (DOA) estimation, sum co-array",

author = "Xiaomeng Wang and Xin Wang and Xuehong Lin",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",

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Wang, X, Wang, X & Lin, X 2016, Co-prime array processing with sum and difference co-array. in MB Matthews (ed.), Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015., 7421152, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2016-February, IEEE Computer Society, pp. 380-384, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421152

Co-prime array processing with sum and difference co-array. / Wang, Xiaomeng; Wang, Xin; Lin, Xuehong.
Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015. ed. / Michael B. Matthews. IEEE Computer Society, 2016. p. 380-384 7421152 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2016-February).

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

TY - GEN

T1 - Co-prime array processing with sum and difference co-array

AU - Wang, Xiaomeng

AU - Wang, Xin

AU - Lin, Xuehong

PY - 2016/2/26

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N2 - Among various sparse-array techniques, co-prime array is found to be more attractive because of its high efficiency and simplicity. In this paper, we propose a scheme that can exploit both sum and difference co-arrays to form a larger size of continuous virtual array while keeping the conventional co-prime array configuration. Compared to the method that needs to extend the sensor array size to ensure the continuity of virtual array, our scheme can reduce the number of required physical sensors while still obtaining the same or even more degrees-of-freedomthat can be exploited in direction-of-arrival (DOA) estimation. Simulation results demonstrate the effectiveness of our proposed method in achieving lower-cost, faster, and more accurate DOA estimation.

AB - Among various sparse-array techniques, co-prime array is found to be more attractive because of its high efficiency and simplicity. In this paper, we propose a scheme that can exploit both sum and difference co-arrays to form a larger size of continuous virtual array while keeping the conventional co-prime array configuration. Compared to the method that needs to extend the sensor array size to ensure the continuity of virtual array, our scheme can reduce the number of required physical sensors while still obtaining the same or even more degrees-of-freedomthat can be exploited in direction-of-arrival (DOA) estimation. Simulation results demonstrate the effectiveness of our proposed method in achieving lower-cost, faster, and more accurate DOA estimation.

KW - Co-prime array

KW - difference co-array

KW - direction-of-arrival (DOA) estimation

KW - sum co-array

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ER -

Co-prime array processing with sum and difference co-array

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