CAJ | 학술논문

提出一种房间混响声场环境下的多声源二维定位跟踪算法.研究了基于盲源分离的时延估计,以及联合空间分布的多个传声器对的定位算法.用高斯似然函数解决在多源、多维情况下声源定位的时延匹对模糊问题,使之能够用双传声器对实现对多个声源的二维定位,结合粒子滤波算法实现对多个运动声源的跟踪.仿真实验验证了提出算法的有效性.
제출일충방간혼향성장배경하적다성원이유정위근종산법.연구료기우맹원분리적시연고계,이급연합공간분포적다개전성기대적정위산법.용고사사연함수해결재다원、다유정황하성원정위적시연필대모호문제,사지능구용쌍전성기대실현대다개성원적이유정위,결합입자려파산법실현대다개운동성원적근종.방진실험험증료제출산법적유효성.
A new algorithm of multi-dimensional localization and tracking of multiple sources in reverberant acoustic environments is proposed. The TDOA estimation based on blind source separation and fusion of multiple microphone pairs for localization are investigated. TDOA-based acoustic source localization approaches suffer from a pairing problem in the case of multiple dimensions and multiple sources. In this paper, one solution was proposed based on a Gausaian likelihood function to pair TDOAs,which can be used to localize multiple moving sources in two dimensions only using two microphone pairs. Moreover, the proposed method is combined with a particle filter for tracking multiple moving sources. Simulation experimental results demonstrate the effectiveness of the proposed scheme.