Two-dimensional DOA estimation algorithm with co-prime array via sparse representation

• Published in: Electronics letters Vol. 51; no. 25; pp. 2084 - 2086
• Main Authors: Cheng, Zengfei, Zhao, Yongbo, Li, Hui, Shui, Penglang
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 10.12.2015
• Subjects: 2D angle information; 2D direction‐of‐arrival estimation algorithm; Algorithms; Antennas and propagation; array aperture; array signal processing; Arrays; Computer simulation; Construction; coprime array; cross‐correlation matrix; direction‐of‐arrival estimation; Estimates; least square procedure; least squares approximations; Least squares method; matrix algebra; Representations; signal representation; sparse signal representation; Two dimensional; two‐dimensional DOA estimation algorithm; least squares approximations; two-dimensional DOA estimation algorithm; direction-of-arrival estimation; 2D angle information; signal representation; matrix algebra; coprime array; cross-correlation matrix; least square procedure; sparse signal representation; 2D direction-of-arrival estimation algorithm; array aperture; array signal processing
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2015.0293

A two-dimensional (2D) direction-of-arrival estimation algorithm is proposed with the co-prime array based on the sparse representation framework. By constructing a cross-correlation matrix of the received signals, the array aperture is extended and the 2D angle information is separated into two independent parts. Then, a procedure of sparse signal representation and least square are used to estimate and pair the 2D angles successively and automatically. Without the prior knowledge of the signal number, the proposed algorithm provides more precise angle estimation. Simulation experiments verify the effectiveness of the proposed algorithm.