Low-complexity DOA estimation method for a co-prime linear array

• Main Authors: Xuchen Wu, Xiaopeng Yang, Bowen Han, Feng Xu
• Format: Article
• Language: English
• Published: Wiley 2019-08-01
• Series: The Journal of Engineering
• Subjects: signal processing; signal classification; array signal processing; direction-of-arrival estimation; low-complexity doa estimation method; co-prime linear array; co-prime array; sparse uniform linear sub-arrays; inter-element spacing; co-prime condition; statistical signal processing; phase ambiguity; sparse array element spacing; co-prime nature
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0272

The problem of direction-of-arrival (DOA) estimation for a co-prime linear array is researched. A low-complexity DOA estimation method is proposed. The co-prime array is decomposed into two sparse uniform linear sub-arrays whose inter-element spacing meets the co-prime condition. Then the received signals of the two sub-arrays are processed for statistical signal processing. Although the DOA estimation based on the under-sampled signal will produce phase ambiguity, the sparse array element spacing that satisfies the co-prime condition makes the phase ambiguity have certain periodic rules. Finally, the unique solution corresponding to the true DOA can be obtained in the phase ambiguities of the two sub-arrays through the application of the co-prime nature. Simulation results validate the effectiveness of the proposed method.