@Article{cmc.2020.09964,
AUTHOR = {Sheng Liu, Hailin Cao, Decheng Wu, Xiyuan Chen},
TITLE = {Generalized Array Architecture with Multiple Sub-Arrays and Hole-Repair Algorithm for DOA Estimation},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {1},
PAGES = {589--605},
URL = {http://www.techscience.com/cmc/v64n1/39161},
ISSN = {1546-2226},
ABSTRACT = {Arranging multiple identical sub-arrays in a special way can enhance degrees
of freedom (DOFs) and obtain a hole-free difference co-array (DCA). In this paper, by 
adjusting the interval of adjacent sub-arrays, a kind of generalized array architecture with 
larger aperture is proposed. Although some holes may exist in the DCA of the proposed 
array, they are distributed uniformly. Utilizing the partial continuity of the DCA, an 
extended covariance matrix can be constructed. Singular value decomposition (SVD) is 
used to obtain an extended signal sub-space, by which the direction-of-arrival (DOA) 
estimation algorithm for quasi-stationary signals is given. In order to eliminating angle
ambiguity caused by the holes of DCA, the estimation of signal parameters via rotational 
invariance techniques (ESPRIT) is used to construct a matrix that includes all angle 
information. Utilizing this matrix, a secondary extended signal sub-space can be obtained. 
This signal sub-space is corresponding to a hole-free DCA. Then, dealing with the further
extended signal sub-space by multiple signal classification (MUSIC) algorithm, the 
unambiguous DOAs of all incident signals can be estimated. Some simulation results are 
shown to prove the improved performance of proposed generalized array architecture in 
DOA estimation and the effectiveness of corresponding hole-repair algorithm in 
eliminating angle ambiguity.},
DOI = {10.32604/cmc.2020.09964}
}