Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

Dear editor,The source number and direction of arrival(DOA)estimation are two important subjects in array signal processing[1,2].Many algorithms for estimating these parameters have been proposed in the

Dear editor, The source number and direction of arrival （DOA） estimation are two important subjects in array sig- nal processing [1,2]. Many algorithms for estimating these parameters have been proposed in the past decades [3-7]. The common approach for determining the source number is to use a certain informa- tion theoretic criterion [3,4] in an additive white Gaussian noise （AWGN） environment, e.g., the AIC and MDL criteria. Conventional DOA estimation algorithms can be roughly classified into two types, beamforming techniques and eigenstructure-based methods [4-7], such as the Capon, MUSIC and Root- MUSIC algorithms. In addition, the rnCapon method [5] has been proposed to improve the resolution performance of the Capon algorithm by using an adjustable power parameter rn.