A sound source localization method based on improved second correlation time delay estimation
A sound source localization method based on improved second correlation time delay estimation
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DOI：
10.1088/1361-6501/aca5a6
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发表时间：
2022-11
影响因子：
2.4
通讯作者：
Mengran Liu;Q. Zeng;Zeming Jian;Yang Peng;Lei Nie
中科院分区：
文献类型：
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作者：
Mengran Liu;Q. Zeng;Zeming Jian;Yang Peng;Lei Nie
基于麦克风阵列的声源定位系统在音视频会议、安防监控、智能座舱等方面有着重要的应用。然而，基于到达时间差的SSL法容易受到环境噪声的影响。为此，本文提出了一种改进的二次相关时延估计算法。通过小波去噪得到纯源信号，然后利用平滑相干变换和Roth处理器的加权函数，利用二次相关时延估计算法计算时延。根据时间延迟计算声音目标的位置。针对运动目标，采用扩展卡尔曼滤波跟踪声源的运动轨迹。进行了静态和动态的SSL仿真，并与单权重二次相关(SQC)算法和高次二次相关算法的结果进行了比较。在−信噪比为10dB时，该算法的静态声源定位误差分别比HQC算法和SQC算法小3.97m和5.86m。在−为10dBSNR的情况下，基于该算法的运动弹道仍最接近真实弹道。这表明该算法对低信噪比环境下的声源定位具有较高的精度和较强的鲁棒性。实验表明，该算法能够准确地计算出静止声源的波达方向，并能稳定地跟踪运动声源的波达方向。这与仿真结果一致，进一步验证了该算法的有效性和实用性。该算法具有较高的时延估计精度，对低信噪比环境下的SSL码检测具有重要意义。
The sound source localization (SSL) system based on the microphone array has important applications in audio and video conference, security monitoring and intelligent cockpit. However, the SSL method based on time difference of arrival is susceptible to ambient noise. Therefore, an improved second correlation delay estimation algorithm is proposed in this paper. The pure source signal is obtained by wavelet denoising, and then the time delay is calculated by the second correlation time delay estimation algorithm with the weighting functions of the smoothed coherence transform and the Roth processor. The position of the sound target is calculated from the time delay. Aiming at the moving target, an extended Kalman filter is introduced to track the moving trajectory of the sound source. The static and moving SSL simulations are conducted and the results of the proposed algorithm are compared with those of the single-weighted quadratic correlation (SQC) algorithm and the high-power quadratic correlation algorithm. The static sound source positioning errors of the proposed algorithm under −10 dB SNR are respectively 3.97 m and 5.86 m smaller than those of the HQC algorithm and the SQC algorithm. The moving SSL trajectory based on the proposed algorithm is still closest to the real track under −10 dB SNR. This indicates that the proposed algorithm has high precision and strong robustness for sound source location in the low signal-to-noise ratio (SNR) environment. In the experiment, the proposed algorithm can accurately calculate the direction of arrival (DOA) of static sound source and stably track DOA of moving sound source. This is consistent with the simulation results, which further verifies the effectiveness and practicability of the algorithm. This novel algorithm with high time delay estimation accuracy is of great significance for SSL in low SNR environment.