加权最大似然波达方向估计算法及其应用研究

Weighted maximum likelihood direction of arrival estimation algorithm and its application research

针对阵列信号处理中空间相干性低、频域有色且通道间具有相同功率谱的噪声模型,分别基于确定性信号模型与随机性信号模型,提出一种加权最大似然(Weighted Maximum Likelihood,WML)波达方向估计算法。数据仿真实验表明,该算法提高了由空间非相干且一致有色噪声引起的低信噪比条件下的波达方向估计精度。户外实验验证了该算法在风噪声条件下的有效性。

To tackle the problem of the noise interferences with weak spatial coherence, colored power distribution and similar spectral structure among channels of the microphone array, a novel Weighted Maximum Likelihood （WML） estimator was proposed under the assumption of deterministic signal and stochastic signal model. The performance of the proposed algorithm was evaluated in the simulation. The outdoor experimental results in low SNR conditions caused by wind noise showed that the proposed algorithm could achieve better performance than the traditional DOA algorithms.