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所属单位：电子信息工程学院
发表刊物：2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
关键字：DOA estimation covariance matrix atomic norm dual polynomial
摘要：A two-stage method for off-grid coherent direction-of-arrival (DOA) estimation using atomic norm minimization based on the covariance matrix is proposed in this paper. In the first stage, by vectorizing the covariance matrix, a new off-grid model matched as a linear combination of two dimensional harmonic is presented, where the proposed denoising covariance matrix-based atomic norm minimization (DCMANM) is applied for the vectorized covariance matrix denoising. Then the simplified dual polynomial method (SDPM) is used for DOA estimation. Unlike most of existing methods, the proposed method requires knowing neither the number of signals nor the statistics of noise. Numerical simulations demonstrate the outperformance of the proposed method in both the angle resolution and DOA estimation precision compared to the state-of-the-art approaches.
ISSN号：1520-6149
是否译文：否
发表时间：2017-01-01
合写作者：张宇,王欣海
通讯作者：张弓