基于分布式麥克風(fēng)陣列的聲源定位算法
發(fā)布時(shí)間:2019-05-18 11:09
【摘要】:為了提高相位變換加權(quán)的可控響應(yīng)功率SRP-PHAT(Steered Response Power-Phase Transform)聲源定位算法的性能,提出一種基于分布式麥克風(fēng)陣列的改進(jìn)算法。根據(jù)分布式麥克風(fēng)陣列的特點(diǎn),使用麥克風(fēng)對(duì)接收信號(hào)的廣義互相關(guān)GCC-PHAT(Generalized Cross-Correlation with Phase Transform weighting)函數(shù)的最大值來(lái)評(píng)價(jià)接收信號(hào)的質(zhì)量。在傳統(tǒng)SRP-PHAT算法的基礎(chǔ)上,以該最大值為權(quán)重乘以每對(duì)麥克風(fēng)接收信號(hào)的GCC-PHAT函數(shù)。該算法質(zhì)量較高的麥克風(fēng)對(duì)接收信號(hào)賦予了較大的權(quán)重,因而能提高定位性能。仿真結(jié)果表明,在信噪比低于10 dB,混響時(shí)間大于300 ms的條件下,改進(jìn)算法的定位成功率比傳統(tǒng)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,
本文編號(hào):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,
本文編號(hào):2479945
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