物理学报Issue(17)：1-9,9.DOI:10.7498/aps.64.174303
基于自适应加权约束最小二乘法的麦克风阵列稳健频率不变波束形成算法∗
Adaptive weighted constrained least squares algorithm based microphone array robustness b eamforming algorithm
摘要
Abstract
In order to solve the problem of robustness of beamforming algorithm with microphone array channel mismatch, an adaptive dynamic-weighted constrained least square algorithm-based microphone array robustness frequency invariant beamforming algorithm is proposed. In the proposed algorithm, by analyzing the microphone array model, with or without channel mismatch, the disadvantages of the constrained least square frequency invariant beamforming algorithm with channel mismatch are studied. After the probability density functions of the microphones are defined as the robustness factors and added to the constraint least square frequency invariant beamforming algorithm, the robustness is improved to a certain extent, but it is still poor. In order to further improve the robustness of the algorithm, dynamic-weighted coefficients for controlling frequency invariance in the cost function are used to regulate the sidelobe spectrum energy. The fluctuation error is defined as the ratio of the maximum to minimum value of array response formed by the same angle of arrival at different frequencies, within the frequency range of frequency invariant, to compare the proposed algorithm with the constrained least square robustness frequency invariant and minmax robustness broadband beamforming algorithm. Experimental results of the algorithms show that the fluctuation errors of the proposed algorithm are the smallest and its robustness is the best; it can effectively overcome the poor robustness of the beamforming algorithm caused by microphone array channel mismatch, and can be applied to any arbitrary array structure.关键词
稳健波束形成/频率不变性/约束最小二乘法/麦克风阵列Key words
robustness beamforming/frequency invariant beamforming/constrained least square/microphone array引用本文复制引用
..基于自适应加权约束最小二乘法的麦克风阵列稳健频率不变波束形成算法∗[J].物理学报,2015,(17):1-9,9.基金项目
全国优秀博士论文作者专项资金(批准号:200753)、江苏省高校自然科学基金重大项目(批准号:13KJA510001)、江苏高校科研成果产业化推进项目(批准号：JHB2012-9)、江苏省高校“信息与通信工程”优势学科建设工程项目(批准号:2014).* Project supported by the Special Fund Projects of National Excellent Doctoral Dissertation of China (Grant No.200753), the Major Project of Nature Science Foundation of Higher Education Institution of Jiangsu Province, China (Grant No.13KJA510001), Jiangsu Scientific Research Achievements in Industrialization Project, China (Grant No. JHB2012-9), and A Project Funded by the Information and Communication Engineering Priority Academic Program Development of Jiangsu Higher Education Institutions (Grant No.2014) （批准号:200753）
