基于分布式麦克风阵列的声源定位算法
发布时间：2019-05-18 11:09
【摘要】：为了提高相位变换加权的可控响应功率SRP-PHAT(Steered Response Power-Phase Transform)声源定位算法的性能,提出一种基于分布式麦克风阵列的改进算法。根据分布式麦克风阵列的特点,使用麦克风对接收信号的广义互相关GCC-PHAT(Generalized Cross-Correlation with Phase Transform weighting)函数的最大值来评价接收信号的质量。在传统SRP-PHAT算法的基础上,以该最大值为权重乘以每对麦克风接收信号的GCC-PHAT函数。该算法质量较高的麦克风对接收信号赋予了较大的权重,因而能提高定位性能。仿真结果表明,在信噪比低于10 dB,混响时间大于300 ms的条件下,改进算法的定位成功率比传统算法提高了2%~4%。
[Abstract]:In order to improve the performance of phase transform weighted controllable response power (SRP-PHAT (Steered Response Power-Phase Transform) sound source location algorithm, an improved algorithm based on distributed microphone array is proposed. According to the characteristics of distributed microphone array, the quality of received signal is evaluated by using the generalized cross-correlation GCC-PHAT of microphone to received signal (the maximum value of Generalized Cross-Correlation with Phase Transform weighting) function). On the basis of the traditional SRP-PHAT algorithm, the maximum value is multiplied by the GCC-PHAT function of each pair of microphones. The microphone with high quality gives a large weight to the received signal, so it can improve the positioning performance. The simulation results show that when the SNR is less than 10 dB, reverberation time is more than 300 ms, the location success rate of the improved algorithm is 2% 鈮，
本文编号：2479945
[Abstract]:In order to improve the performance of phase transform weighted controllable response power (SRP-PHAT (Steered Response Power-Phase Transform) sound source location algorithm, an improved algorithm based on distributed microphone array is proposed. According to the characteristics of distributed microphone array, the quality of received signal is evaluated by using the generalized cross-correlation GCC-PHAT of microphone to received signal (the maximum value of Generalized Cross-Correlation with Phase Transform weighting) function). On the basis of the traditional SRP-PHAT algorithm, the maximum value is multiplied by the GCC-PHAT function of each pair of microphones. The microphone with high quality gives a large weight to the received signal, so it can improve the positioning performance. The simulation results show that when the SNR is less than 10 dB, reverberation time is more than 300 ms, the location success rate of the improved algorithm is 2% 鈮，
本文编号：2479945
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