基于Kronecker积的差分波束形成  

Differential Beamforming Based on Kronecker Product

作　　者：刘文俊 巩朋成 吴云韬[1,2] LIU Wenjun;GONG Pengcheng;WU Yuntao(Hubei Key Laboratory of Intelligent Robot(Wuhan Institute of Technology),Wuhan 430205,China;School of Computer Science&Engineering,Wuhan Institute of Technology,Wuhan 430205,China)

机构地区：[1]智能机器人湖北省重点实验室(武汉工程大学),湖北武汉430205 [2]武汉工程大学计算机科学与工程学院,湖北武汉430205

出　　处：《武汉工程大学学报》2022年第6期690-694,共5页Journal of Wuhan Institute of Technology

基　　金：国家自然科学基金(62071172);湖北三峡实验室开放基金(SC215001)。

摘　　要：针对差分麦克风阵列在低频时有较大的自噪声干扰导致期望信号失真较大,产生较强噪声干扰的问题,提出一种利用Kronecker积来设计新的波束形成的方法降低麦克风阵列在低频时的自噪声干扰,提升麦克风阵列的性能。通过将一个全局麦克风阵列分解成2个子阵列,对这2个子阵列分别使用零陷约束算法和空间差分算子算法优化求解,最后将2个优化结果进行Kronecker积。仿真结果表明,相比于已有的波束形成器,本文设计的波束形成器不仅在低频时对自噪声有更有效的抑制作用,而且能够更好的在白噪声增益和指向性因子之间进行折衷,达到更好的波束形成效果。Aimed at the feature of differential microphone array with higher self-noise interference at low frequencies,which may lead to more distortion of desired signal,and generate stronger noise interference,we proposed using Kronecker product to design a new beamforming method to reduce the self-noise interference and improve the performance of microphone array. By splitting a global microphone array into two sub-arrays,we optimized them by null constraint algorithm and spatial difference operator algorithm respectively. The simulation results show that, compared with existing beamformer, the designed beamformer can better improve the performance of suppressing the self-noise at low frequencies,and it also can better compromise between white noise gain and directivity factor,so as to get better performance.

关 键 词：波束形成 零陷约束 空间差分算子 KRONECKER积 

分 类 号：TN912[电子电信—通信与信息系统]