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TDOA参数估计算法
引用本文:马金明. TDOA参数估计算法[J]. 北京邮电大学学报, 2007, 29(1): 96-99
作者姓名:马金明
作者单位:北京邮电大学,信息工程学院,北京,100876
摘    要:对基于广义互相关法(GCC)的波束到达时间差(TDOA)估计算法的捕获概率进行了分析,推导了计算捕获概率的数值算法,并在此基础上,对2种常用TDOA估计方法的算法效率进行比较.这2种方法分别是直接对2个接收信号做互相关运算来估计TDOA的方法,以及将2个接收信号分别与1个无噪声的m-序列做互相关运算来估计TDOA的方法.仿真结果表明,后者有较高的算法效率.

关 键 词:波束到达时间差  m-序列  广义互相关法  
文章编号:1007-5321(2007)01-0096-04
收稿时间:2005-12-01
修稿时间:2005-12-01

Research on TDOA Estimating Algorithms
MA Jin-ming. Research on TDOA Estimating Algorithms[J]. Journal of Beijing University of Posts and Telecommunications, 2007, 29(1): 96-99
Authors:MA Jin-ming
Affiliation:School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract:The acquisition probability of two popular algorithms are investigated,which are based on general cross correlation(GCC) algorithm and widely used to evaluate time difference of arrival(TDOA) coefficients.A numerical algorithm is proposed to calculate the acquisition probability of GCC,which lays a basis for the comparison between these two algorithms.In order to evaluate the TDOA,one of these algorithms is correlating the input signals directly while the other correlates the two input signals with a noiseless m-sequence separately.The simulation result proves that the later has higher algorithm efficiency.
Keywords:time difference of arrival   m-sequence   general cross correlation
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