A Study Based on Fourth-Second Order Normalized Cumulant in TDOA Estimation

摘要：

This work presents a problem of estimating the difference in arrival times of non-Gaussian signals added Gaussian noises at two separated sensors. The method Is variable-step Least Mean Square algorithm, lu this chapter, we Investigate the normalized cumulants of the two different error using variable-step Least Meau Square algorithm of time delay estimation. A new objective function is created In adaptive processing. When the adaptive filter converges, the weighted coefficient is calculated, while the value of time delay estimation is also obtained. Simulation results demonstrate that, under two different conditions of the noises, with the normalized cnmulants, convergence curve performance vla the proposed method is better than the method based on the fourth order cumulant.

关键词： TDOA estimation variable-step LMSalgorithm fourth-second order normalized cammlimt Convergence carve

作者: Hongzhi Wang Jingtao Zhao Liying Qian

作者单位: College of computer Science and Bngineering, Changchun University of Techno logy, Changchun, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 215-218

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）