Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint

摘要: We consider the problem of direction arrival (DOA) estimation using a recently proposed structure nonuniform linear arrays, referred to as co-prime arrays. By exploiting second order statistical information received signals, arrays exhibit O(MN) degrees freedom with only M+N sensors. A sparsity-based recovery algorithm is fully utilize these freedom. The suggested method based on developing theory super resolution, which considers continuous range possible sources instead discretizing this onto grid. With approach, off-grid effects inherent in traditional sparse can be neglected, thus improving accuracy DOA estimation. show that noiseless case it theoretically detect up [MN/ 2] 2M+N noise statistics are also analyzed demonstrate robustness optimization scheme. source number detection presented spectrum reconstructed from method. extensive numerical examples, we superiority terms accuracy, freedom, and resolution ability over previous techniques, such MUSIC spatial smoothing discrete recovery.