The Compressed Nested Array For Underdetermined Doa Estimation By Fourth-Order Difference Coarray

In this paper, a new sparse array structure, which further improves the degrees of freedom (DOFs) and enhanced the DOA estimation performance, for the fourth-order cumulant based direction of arrival (DOA) estimation is proposed. The new-formed array is hole-free and can achieve a large consecutive range in its fourth-order difference coarray. By analyzing its second-order sum coarray and fourth-order difference coarray, the closed-form expression for the physical sensor locations and the corresponding virtual sensor configurations are derived. Compared with the existing fourth-order based sparse array structures, such as FLNA and SAFOE-NA, when the number of sensors is less than 23, the proposed sparse array can obtain longer consecutive virtual array, leading to more detected sources with a higher accuracy. Numerical simulations are performed to verify the superiorities of the proposed sparse array for fourth-order cumulant based DOA estimation.