基于麦克风嵌套子阵列的频域盲反卷积算法  

Blind Deconvolution Algorithm in Frequency-Domain Based on Microphone Sub-arrays

作　　者：杜军[1,2] 

机构地区：[1]山东大学信息科学与工程学院,济南250100 [2]山东师范大学传播学院,济南250014

出　　处：《青岛大学学报（自然科学版）》2009年第2期48-53,共6页Journal of Qingdao University(Natural Science Edition)

基　　金：国家自然科学基金(60572105);山东优秀中青科学家奖励基金(No.2007BS01023);教育部新世纪优秀人才支持计划

摘　　要：对卷积混叠信号盲分离过程中解决顺序模糊的方法进行了探讨,提出了一种利用麦克风嵌套子阵列,结合DOA法和相关法的更加稳健的纠正顺序不确定性的算法。仿真结果表明,利用基于麦克风嵌套子阵列的频域盲反卷积算法能够有效地解决DOA方法在低频段有效性较差、频域盲反卷积算法中低频段的顺序模糊问题。In this paper, we present a new method for solving the permutation problem using microphone sub-arrays. , which is based on the combination of direction of arrival（DOA） estimation for sources and the inter-frequency correlation of signal envelopes. Firstly, DOA estimation is performed using microphone sub-arrays so that the permutation problem is solved more robustly in low frequencies. Secondly, we exploit the correlation between the adjacent bins to fix the permutation for the remaining frequencies. Experimental results show that the proposed method provided a more robust solution to the permutation problem in a real acoustic environment.

关 键 词：频域盲反卷积 麦克风嵌套子阵列 互参数法 DOA 

分 类 号：TN912.3[电子电信—通信与信息系统]