An efficient off-grid DOA estimation approach for nested array signal processing by using sparse Bayesian learning strategies
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- 作者：Jie Yang ; yangjie_xidian@126.com" class="auth_mail" title="E-mail the corresponding author ; Guisheng Liao ; Jun Li
- 关键词：Direction-of-arrival (DOA) estimation ; Nested array ; Sparse Bayesian learning (SBL) ; Off-grid effects ; Polynomial rooting
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：128
- 期：Complete
- 页码：110-122
- 全文大小：1164 K
文摘
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A sparsity-inducing DOA estimation method applied in nested array is proposed.
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The proposed method is based on a Sparse Bayesian learning perspective.
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The off-grid effects inherent in sparse recovery framework are taken into account.
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The unknown noise variance can be eliminated easily.
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The off-grid distances can be calculated by using a polynomial rooting procedure.