提出联合估计波达方向与噪声协方差矩阵的新方法，提升语音增强性能。
Direction-of-Arrival and Noise Covariance Matrix joint estimation for beamforming
- 用近似线性解替代传统遍历搜索，简化估计流程。
- 全频段联合波达方向估计，降低混响环境中的角度误差。
- 适合语音信号处理、智能麦克风阵列等需要高精度波束成形的场景。
本文提出一种面向波束成形应用的波达方向（DoA）与噪声协方差矩阵（NCM）联合估计方法。基于现有NCM框架，该方法通过推导近似线性解，替代传统遍历搜索，显著简化了估计过程。同时，提出一种跨所有频率分量的新型DoA估计技术，增强了在混响环境中的鲁棒性。仿真结果表明，本方法在中高角度场景下优于经典MUSIC算法，实现更低的角度误差和更优的信号增强效果。所提框架在信号增强任务中也表现出更强的噪声抑制与干扰消除能力，理论与实测性能指标均验证了其有效性。
原文摘要 · Abstract (English)
We propose a joint estimation method for the Direction-of-Arrival (DoA) and the Noise Covariance Matrix (NCM) tailored for beamforming applications. Building upon an existing NCM framework, our approach simplifies the estimation procedure by deriving an quasi-linear solution, instead of the traditional exhaustive search. Additionally, we introduce a novel DoA estimation technique that operates across all frequency bins, improving robustness in reverberant environments. Simulation results demonstrate that our method outperforms classical techniques, such as MUSIC, in mid- to high-angle scenarios, achieving lower angular errors and superior signal enhancement through beamforming. The proposed framework was also fared against other techniques for signal enhancement, having better noise rejection and interference canceling capabilities. These improvements are validated using both theoretical and empirical performance metrics.
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