In this paper, a scheme is proposed to estimate time delay, when the source is modeled as narrowband signal, with data obtained by a l-D microphone array. The sound signal, which is passed by a narrowband filter, is modeled as narrowband signal. The characteristic of the signal in frequency domain is analyzed, and a searching function determined by the propagating time difference between two neighbor microphones is defined, in order to find the time delay. In the case of white noise, a Hankel matrix is constructed from the available data vector, and the method of singular vector decomposition is used to denoise. In the case of narrowband noise, a passband filter is constructed from Chebyshev I lowpass filter, in order to eliminate the noise. Finally, the result of simulation is presented, to evaluate the scheme.%提出了声源为窄带信号时,用一维麦克风阵列所得数据进行时延估计的算法.将由麦克风阵列采集,并通过窄带滤波器的声源信号建模为窄带信号;通过分析其频谱特征,定义了关于信号传至相邻麦克风时间差的搜索函数,以得出所求时延.对于含有背景噪声的情况,在白噪声环境下,用所得数据向量构造Hankel矩阵,通过奇异值分解法去噪;当存在窄带噪声时,用Chebyshev Ⅰ低通滤波器构造出带通滤波器,达到去噪目的.最后,给出了实验仿真结果,验证方案的可行性.
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