期刊文献+

一种基于改进AMDF的时延估计方法 被引量:1

Research on Time Delay Estimation Based on Modified AMDF Method
下载PDF
导出
摘要 两路传感器接收信号的时延估计是时间到达差(TDOA)定位中需要解决的首要问题。多途效应是影响时延估计性能的重要因素。提出一种基于改进平均幅度差函数(AMDF)的时延估计方法,通过对信号进行多帧延拓与叠加,提高对多途效应的抑制能力。同时,结合广义互相关方法降低算法的噪声敏感性。仿真结果表明,该算法时延估计结果与传统方法相比具有更小的误差和更高的稳定性。 The time delay estimation of signals received at two sensors is the first step in time difference of arrival(TDOA) location.Multi-path effect is the key factor affecting the performance of the time delay estimation of the sound source signal.Traditional methods are difficult to overcome the effects of multi-path.A time delay estimation method based on generalized weighted average magnitude difference function(AMDF) was proposed.The multi-path effects can be suppressed by the modified AMDF method.The generalized weighted function can be used to reduce the noise sensitivity of the algorithm.Simulation results show that,with reduced error and improved stability,the performance of proposed method is better than that of the traditional generalized cross-correlation method.
出处 《压电与声光》 CSCD 北大核心 2013年第6期926-928,共3页 Piezoelectrics & Acoustooptics
基金 国家自然科学基金面上资助项目(51274118) 辽宁省教育厅基金资助项目(L2012119)
关键词 声源定位 时延估计 多途效应 广义互相关 平均幅度差函数(AMDF) 广义加权函数 source localization time delay estimation multi-path effect generalized cross-correlation AMDF generalized weighted function
  • 相关文献

参考文献10

  • 1LIU Junmin,ZHANG Chen,LIU Shi. A TDOA location algorithm based on data fusion[J].Front Electr Electron Eng China,2006,(03):330-333.
  • 2CARTER G C. Coherence and time delay estimation[J].{H}PROCEEDINGS OF THE IEEE,1987,(02):236-255.
  • 3BOWON L,SAID A,KALKER T. Maximum likelihood time delay estimation with phase domain analysis in the generalized cross correlation framework[J].Hands-Free Speech Communication and Microphone Arrays,2008.89-92.
  • 4HOANG Do,SILVERMAN D E,YING H F. A realtime SRP-PHAT source location implementation using stochastic region contraction(src) on a large-aperture microphone array[J].IEEE International Conference on Acoustics Speech and Signal Processing,2007.121-124.
  • 5LIN S,CHERN S. A new adaptive constrained LMS time delay estimation algorithm[J].{H}SIGNAL PROCESSING,1998,(01):29-44.doi:10.1016/S0165-1684(98)00132-7.
  • 6SO H C. Analysis of an adaptive algorithm for unbiased multipath time delay estimation[J].{H}IEEE Transactions on Aerospace and Electronic Systems,2003,(03):777-785.doi:10.1109/TAES.2003.1238735.
  • 7MATASSONI M,SVAIZER P. Efficient time delay estimation based on cross-power spectrum phase[A].Florence,Italy,2006.1-5.
  • 8ROSS M,SHAFFER H,COHEN A. Average magnitude difference function pitch extractor[J].{H}IEEE Transactions on Acoustics Speech and Signal Processing,1974,(05):353-362.
  • 9JACOVITTI G,SCARANO G. Discrete time techniques for time delay estimation[J].{H}IEEE Transactions on Signal Processing,1993,(02):525-533.doi:10.1109/78.193195.
  • 10CHEN J,BENESTY J,HUANG Y. Performance of GCC-and AMDF-based time-delay estimation in practical reverberant environments[J].{H}EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2005,(01):25-36.

同被引文献11

  • 1V C Chen. Advances in application of radar micro-Doppler signa- tures[ C ]. Proe. of the 2014 IEEE Inf. on Antenna Measuremenls & Application (CAMA). Antibes, Franee, 16-19 Nov, 2014:1- 4.
  • 2M E Shaikin. Applying random stn~am theo~' to Ihe group target detection problem[ J ]. Automation and Remote Control, 2012,73 (6) : 976-991.
  • 3GuoKun-Yi, Sheng Xin-Qing. A Precise Reeongnition method of missile warhead and decoy in Multi-Target Scene[ J ]. journal of eleelromagnetie wave and application, 2010,24:641-652.
  • 4Jiyong Oh, et ~. Selective generation of Gabor features tor fast faee recognition oll mobile devic'es[ J ]. Pattern Recognition Let- te~, 2013,34( 13 ) : 1540-1547.
  • 5Kamran Kazemi, Mohammadreza Amirian. The S-transfom~ using a new window to improve frequency anti time resolutions [ J ]. Springer Signal, Image and Video Prueessing, 2014,8( 3 ) :533- 541.
  • 6M K Das, S Ari. Analysis ot" ECG signal denoisil"lg method based on S-transh)nn[J]. IRBM, 2013,34(6) :362-370.
  • 7李开明,李长栋,李松,李宏静,张群.基于Gabor变换的微动目标微多普勒分析与仿真[J].空军工程大学学报(自然科学版),2010,11(1):40-43. 被引量:10
  • 8黄小红,贺夏,辛玉林,陈曾平.基于时频特征的低分辨雷达微动多目标分辨方法[J].电子与信息学报,2010,32(10):2342-2347. 被引量:20
  • 9关永胜,左群声,刘宏伟.高噪声环境下微动多目标分辨[J].电子与信息学报,2010,32(11):2630-2635. 被引量:12
  • 10李秋生,谢维信.基于高阶时频分布的雷达目标微多普勒特征分析[J].信号处理,2011,27(9):1291-1295. 被引量:2

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部