一种基于二阶互模糊函数的TDOA/FDOA联合参数估计算法  

A kind of fuzzy function based on second-order mutual TDOA/FDOA joint parameter estimation algorithm

作　　者：张柏林[1] 王龙[1] 吴宏超[1] 

机构地区：[1]中国人民解放军空军航空大学,吉林长春130022

出　　处：《科技视界》2016年第4期152-153,共2页Science & Technology Vision

摘　　要：为了降低TDOA和FDOA联合参数估计所消耗的时间,提高参数估计的时效性,通过对互模糊函数计算公式进行适当变换,将传统的直接互模糊函数TDOA/FDOA联合参数估计算法的二维TDOA/FDOA搜索算法变换为对信号内积进行快速傅里叶变换,再对变换后的数据展开二维搜索,这在很大程度上减小了TDOA/FDOA联合参数估计的计算量,从而提高参数估计的效率。并且还通过分组的方式,重构了傅里叶变换项,并进行相应的近似,进一步减小了计算量。仿真实验证明了算法的可行性和稳健性。In order to reduce the consumption of TDOA and FDOA joint parameter estimation by time, and improve the efficiency of the parameter estimation and based on the mutual transformation formula of fuzzy function properly, the traditional direct mutual fuzzy function parameter estimation algorithm of TDOA/FDOA joint transform 2 d TDOA/FDOA search algorithm for fast Fourier transform of signal inner product, after again to transform the data of two dimensional search, this is largely reduced the TDOA/FDOA joint parameter estimation calculation, so as to improve the efficiency of parameter estimation. And also through the way of grouping, reconstructed the Fourier transform, and the corresponding approximate, further reducing the amount of calculation. Simulation results prove the feasibility and robustness of the algorithm.

关 键 词：干扰源定位 到达时差 互模糊函数 

分 类 号：TN911.7[电子电信—通信与信息系统]