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计算机系统应用:2018,27(8):247-253
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改进的互功率谱时延估计算法
万梦时, 吴小培, 张超
(安徽大学 计算机科学与技术学院, 合肥 230601)
Improved Time-Delay Estimation Algorithm for Mutual Power Spectrum
WAN Meng-Shi, WU Xiao-Pei, ZHANG Chao
(College of Computer Science and Technology, Anhui University, Hefei 230601, China)
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投稿时间:2017-12-05    修订日期:2017-12-27
中文摘要: 麦克风阵列的声源定位一直是阵列信号处理领域的研究热点.以互功率谱相位估计法(mutual power spectrum phase estimation,CSP)为代表的时延估计法因为其原理简单、计算量小、易于实现而得到广泛应用.虽然CSP算法在高信噪比环境下有不错的估计效果,但当信噪比较低和声学场景较复杂时,算法效果急剧下降.为了解决这一问题,本文对CSP算法进行改进.通过对CSP算法的时延估计结果进行筛选,剔除不合理的时延值,更新算法参数后重新进行估计以得到合理的时延值,并经过多帧信号加权得到声源的时延值与位置信息.为了验证所提算法的有效性,本文分别在Matlab与真实环境下进行了实验验证,结果表明,改进后的CSP算法相比原有算法在时延估计精度方面有明显改善.
Abstract:The sound source location of the microphone array has been a hot topic in the field of array signal processing. The time-delay estimation method, which is represented by mutual power spectrum phase estimation (CSP), is widely used because of its simple principle, small computation, and easy implementation. Although the CSP algorithm has a good estimation effect in the high SNR environment, the accuracy is drastically reduced when the SNR is low and the acoustic scene is much complicated. In order to solve this problem, this study improves the CSP algorithm. By filtering the time-delay estimation results of the CSP algorithm, the unreasonable delay value is eliminated, the algorithm parameters are updated and estimated again to obtain reasonable delay value, and through multiple frame signal to obtain the time-delay and position information of the sound source. In order to verify the effectiveness of the proposed algorithm, this paper experimentally validates in Matlab and real environment respectively, and the results show that the enhanced CSP algorithm has improved the accuracy of the time-delay estimation compared with the original algorithm.
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万梦时,吴小培,张超.改进的互功率谱时延估计算法.计算机系统应用,2018,27(8):247-253
WAN Meng-Shi,WU Xiao-Pei,ZHANG Chao.Improved Time-Delay Estimation Algorithm for Mutual Power Spectrum.COMPUTER SYSTEMS APPLICATIONS,2018,27(8):247-253

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