Abstract:

Although the multiple signal classification (MUSIC) algorithm which is based on the concept of subspace has excellent performance, the resolution ability decreases in direction of arrival (DOA) estimation under severe environments like low signal noise ratio (SNR), small number of snapshots, or incident waves from close angles. Focusing on this problem, a super resolution estimation method is proposed. After calculating the second derivative of MUSIC spectrum, some negative peaks are shown around the original DOAs while MUISC spectrum does not make peaks there. Compared with the classical MUSIC algorithm, the new method can get better resolution performance for separating closely spaced sources in difficult contexts such as low SNR and small number of snapshots.