Velocity-independent and low-complexity method for 1D DOA estimation using an arbitrary cross-linear array

• Main Authors: Gengxin Ning, Guangyu Jing, Xiaopeng Li, Xuejin Zhao
• Format: Article
• Language: English
• Published: SpringerOpen 2020-06-01
• Series: EURASIP Journal on Advances in Signal Processing
• Subjects: 1D-DOA; Velocity independent; Arbitrary cross-linear array; Cramer-Rao bound
• Online Access: http://link.springer.com/article/10.1186/s13634-020-00687-2

Abstract This paper focuses on a low-complexity one-dimensional (1D) direction-of-arrival (DOA) algorithm with an arbitrary cross-linear array. This algorithm is highly accurate without the performance error usually caused by the uncertainty factor of the wave velocity in the underwater environment. The geometric relationship between two crossed linear arrays is employed to derive the expression of DOA estimation with the finding that this algorithm is capable of excluding the wave velocity variable in the DOA estimation expression. A method without parameter pairing is also proposed to reduce the complexity of this algorithm. Additionally, the influence of wave velocity is analyzed in terms of R M S E c and the Cramer-Rao bound (CRB) for 1D DOA with the arbitrary cross-linear array is established. The simulation results demonstrate that the proposed algorithm can achieve better performance than the traditional algorithm under the condition of an inaccurate estimate of wave velocity. Compared with the velocity-independent DOA algorithm, it exhibits the feature of low complexity.