Study on Least Squares System Identification for Gain-phase Errors Calibration of Microphone Array
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摘要: 阵列幅相误差显著降低了麦克风阵列的声源定位算法性能,研究了一种麦克风阵列幅相误差有源宽带近场校准方法。该方法采用一个校准源,线性正弦扫频信号作为激励信号,它先对阵列接受到的信号进行幅值和相位补偿,以阵列中的一个阵元作为参考阵元,把参考阵元与待校准阵元当作单输入单输出线性系统,然后通过递推最小二乘(RLS)系统辨识算法获得用于通道校准的FIR滤波器。用三维声强探头阵列进行校准和声源定位实验,验证了所提出的校准方法实用有效。
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关键词:
- 校准 /
- 麦克风阵列 /
- 幅相误差 /
- 递推最小二乘系统辨识 /
- 声源定位
Abstract: Array gain-phase errors significantly degrade the performance of the sound source localization algorithms based on microphone array. An active broadband near-field calibration method is studied for microphone array gain-phase errors. This method uses only one calibration source, and uses a linear sinusoidal sweep signal as the excitation signal. Firstly, it performs amplitude and phase compensation on the signals received by the array. One element in the array is used as the reference element, and the reference element and the element to be calibrated are regarded as a single-input-single-output linear system. Then, several FIR filters for channel calibration are obtained by the recursive least squares (RLS) system identification algorithm. The calibration and sound source localization experiments were carried out with a three-dimensional sound intensity probe array, and the proposed calibration method was verified to be practical and effective. -
表 1 相位失配校准结果
Table 1. Phase mismatch calibration results
参数名 频率/Hz 500 1 000 1 500 2 000 理论值 0 0 0 0 麦克风2与麦克风1相位差/(°) 校准前 -3.643 1 -6.146 9 -4.187 5 -3.987 4 校准后 -1.806 1 -2.457 9 0.712 5 1.107 6 理论值 18.494 1 36.988 2 55.482 3 73.976 4 麦克风3与麦克风1相位差/(°) 校准前 14.911 3 34.865 4 50.031 4 71.211 5 校准后 16.431 3 37.699 4 53.622 4 74.538 5 理论值 18.494 1 36.988 2 55.482 3 73.976 4 麦克风4与麦克风1相位差/(°) 校准前 20.541 2 39.364 4 57.312 2 79.154 2 校准后 16.919 2 36.009 4 54.006 2 74.787 2 -
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