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

Abstract

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.

Keywords

• signal processing
• signal classification
• array signal processing
• direction-of-arrival estimation
• low-complexity doa estimation method
• co-prime linear array
• direction-of-arrival estimation
• 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