文章摘要
郭培培,李建良.音频无人机定位的时延估计模拟分析[J].声学技术,2020,39(5):650~654
音频无人机定位的时延估计模拟分析
Simulation analysis of time delay estimation in audio unmanned aerial vehicle location
投稿时间:2019-10-14  修订日期:2019-11-18
DOI:10.16300/j.cnki.1000-3630.2020.05.021
中文关键词: 无人机音频  时延估计  广义互相关  广义二次相关  相关峰精确插值算法
英文关键词: UAV audio  delay estimation  generalized cross correlation  generalized quadratic correlation  fine interpolation of correlation peak (FICP) algorithm
基金项目:
作者单位E-mail
郭培培 南京理工大学, 江苏南京 210094 g2015806435@163.com 
李建良 南京理工大学, 江苏南京 210094  
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中文摘要:
      针对无人机非平稳音频信号时差定位中,广义互相关时延估计算法抗噪性差和时延估计值精度低等问题,文章采用了一种基于广义二次相关时延估计的改进算法。算法对叠加了实际噪声(如风声、雨声、汽车鸣笛声等)的无人机音频信号进行频谱细化的广义二次相关,有效抑制了噪声干扰,融合相关峰精确插值算法,提高了互相关函数的分辨率,使得时延峰值更加明显。仿真实验结果表明,改进的广义二次相关方法在不同信噪比时,比广义互相关和广义二次相关算法的时延估计精度更高,稳定性更好。改进的广义二次相关算法对无人机定位中的时延估计具有更好的性能优势,具有较强的实际应用性。
英文摘要:
      Aiming at the problem of poor noise immunity and low estimation accuracy of generalized cross-correlation time delay estimation algorithm in time-difference localization of non-stationary audio signals of unmanned aerial vehicle (UAV), an improved algorithm based on generalized quadratic correlation time delay estimation is adopted in this paper. The algorithm performs generalized quadratic correlation on audio signal with actual noise (such as wind sound, rain sound, car whistle sound, etc.), effectively suppresses noise interference and integrates the fine interpolation of correlation peak (FICP) algorithm to improve the resolution of cross-correlation function, which makes the peak delay more obvious. The simulation results show that the improved generalized quadratic correlation estimation method has higher accuracy of time delay estimation and better stability than the generalized cross-correlation and generalized quadratic correlation algorithms under different signal-to-noise ratios. The improved generalized quadratic correlation algorithm has better performance advantages for time delay estimation in UAV positioning, and has strong practical application.
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