A DOA Estimation Approach under Nonuniform White Noise
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概要
- 論文の詳細を見る
The letter deals with direction-of-arrival (DOA) estimation under nonuniform white noise and moderately small signal-to-noise ratios. The proposed approach first uses signal subspace projection for received data vectors, which form an efficient iterative quadratic maximum-likelihood (IQML) approach to achieve fast convergence and high resolution capabilities. In conjunction with a signal subspace selection technique, a more exact signal subspace can be obtained for reducing the nonuniform noise effect. The performance improvement achieved by applying the proposal to the classic IQML method is confirmed by computer simulations.
- （社）電子情報通信学会の論文
- 2011-03-01
著者
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Chang Ann-chen
Department Of Electrical Engineering Chung Cheng Institute Of Technology National Defense University
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Chang Jhih-chung
Department Of Information Technology Ling Tung University
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Hung Jui-chung
Department Of Computer Science Taipei Municipal University Of Education
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Chang Jhih‐chung
Department Of Information Technology Ling Tung University
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