提出了一种基于线性约束最小方差波束形成(LCMV)的自适应方向图控制方法。
An adaptive pattern control method based on linearly constrained minimum variance (LCMV) is presented.
为了进一步改善波束形成器的降噪性能，文章提出了一种基于维纳滤波的线性约束最小方差波束形成器。
A new method of linearly constrained minimum variance beamforming that based on Wiener filter is proposed to improve its performance of noise reduction.
详细推导了基于功率倒置阵列的线性约束最小方差（LCMV）算法及其递推公式，避免了矩阵求逆的复杂运算。
The linearly constrained minimum variance (LCMV) algorithm based on the power inversion array and its iterative formula are deduced in the paper, which avoids the complexities of matrix inversion.
该波束形成器首先让信号经过维纳滤波器消除非相干噪声，而后经过经典的线性约束最小方差处理，最终达到较好的语音增强效果。
This kind of beamformer can eliminate incoherent noise when signals pass Wiener filter, then achieve a better speech-enhance effect by linear constraints minimum variance beamforming.
该波束形成器首先让信号经过维纳滤波器消除非相干噪声，而后经过经典的线性约束最小方差处理，最终达到较好的语音增强效果。
This kind of beamformer can eliminate incoherent noise when signals pass Wiener filter, then achieve a better speech-enhance effect by linear constraints minimum variance beamforming.
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