Broadband 2-D DOA Estimation Based on Continuous Sparse Recovery

Authors

Chenxi Wu, Electronic Engineering Institute of PLA, Hefei 230037, China;
Zhang Min, Electronic Engineering Institute of PLA, Hefei 230037, China;
Keren Wang, Electronic Engineering Institute of PLA, Hefei 230037, China;

Abstract

Abstract: For the problem of two dimensional underdetermined direction of arrival (2-D DOA) estimation, three parallel sparse arrays are designed and a novel DOA method based on continuous sparse recovery is proposed. The dimension of received data is reduced and the cross covariance matrix is vectorized to improve freedom degree. According to the objection function of the minimization issue based on total variation norm constraint, the space frequency is achieved by solving corresponding dual problem. The center frequency, azimuth and pitch angles are paired by capon method. Theoretical analysis shows the proposed method has a higher array aperture extension and can neglect basis mismatch effects. Extensive simulation results demonstrate the effectiveness of the proposed method.

Recommended Citation

Wu, Chenxi; Min, Zhang; and Wang, Keren (2019) "Broadband 2-D DOA Estimation Based on Continuous Sparse Recovery," Journal of System Simulation: Vol. 30: Iss. 8, Article 24.
DOI: 10.16182/j.issn1004731x.joss.201808024
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/24

First Page

3015

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808024

Last Page

3023

CLC

TN911.23

Recommended Citation

Wu Chenxi, Zhang Min, Wang Keren. Broadband 2-D DOA Estimation Based on Continuous Sparse Recovery[J]. Journal of System Simulation, 2018, 30(8): 3015-3023.

DOI

10.16182/j.issn1004731x.joss.201808024