【摘要】 减少定位声源所需麦克风数量对于特定场合是重要的,提出在两麦克风条件下利用距离差、能量比和到达角联合对单个声源进行二维定位的最大似然法和一种闭式解。在高斯噪声条件下,最大似然法将转化为加权最小二乘问题,为减小求解复杂度利用了粒子群算法进行迭代求解。通过仿真分析了最大似然法和闭式解法的抗噪声性能。更多还原

【Abstract】 To reduce the required number of microphones of sound source location is important for specific occasions. A maximum-likelihood location estimator and a closed-form estimator are proposed for one sound source localization using range differences of arrival,energy ratios of arrival and angle of arrival with two microphones. The maximum-likelihood method is converted into a weighted least squares problem under the condition of gaussian noise,which is solved by an improved particle swarm optimization( PSO) algorithm. The performance of this algorithms against noise are analyzed in this paper.更多还原