TY - GEN
T1 - Direction of arrival estimation with co-prime arrays via compressed sensing methods
AU - Jia, Tianyi
AU - Wang, Haiyan
AU - Shen, Xiaohong
AU - Liu, Xingchen
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/3
Y1 - 2016/6/3
N2 - In this paper, we consider the problem of direction of arrival (DOA) estimation with co-prime arrays via compressed sensing methods. A sparse signal recovery model based on the framework of co-prime array is presented. We propose to use OMP algorithm to efficiently implement the optimization procedure, which have a lower computational cost. The sparse recovery model of DOA estimation obeys the isotropy property and incoherence property. Therefore, by exploiting the RIPless theory in compressed sensing, we develop the upper bound of degrees of freedom (DOF) of the proposed model. The results establish a basic relationship between upper bound of DOF, the number of samplers and the probability of recovery. Numerical examples show the superiority of the proposed method in detection performance and estimation accuracy compared with the existing spatial smoothing MUSIC algorithm using co-prime arrays.
AB - In this paper, we consider the problem of direction of arrival (DOA) estimation with co-prime arrays via compressed sensing methods. A sparse signal recovery model based on the framework of co-prime array is presented. We propose to use OMP algorithm to efficiently implement the optimization procedure, which have a lower computational cost. The sparse recovery model of DOA estimation obeys the isotropy property and incoherence property. Therefore, by exploiting the RIPless theory in compressed sensing, we develop the upper bound of degrees of freedom (DOF) of the proposed model. The results establish a basic relationship between upper bound of DOF, the number of samplers and the probability of recovery. Numerical examples show the superiority of the proposed method in detection performance and estimation accuracy compared with the existing spatial smoothing MUSIC algorithm using co-prime arrays.
UR - http://www.scopus.com/inward/record.url?scp=84978274906&partnerID=8YFLogxK
U2 - 10.1109/OCEANSAP.2016.7485484
DO - 10.1109/OCEANSAP.2016.7485484
M3 - 会议稿件
AN - SCOPUS:84978274906
T3 - OCEANS 2016 - Shanghai
BT - OCEANS 2016 - Shanghai
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - OCEANS 2016 - Shanghai
Y2 - 10 April 2016 through 13 April 2016
ER -