【摘要】 为提高单独到达时差或频差定位精度,本文首先提出可达TDOA克拉美罗界的TDOA解析解,然后采用最大似然网格搜索算法获得FDOA定位解,最后采用基于TDOA/FDOA不相关估计选择融合的解形成联合解。仿真和理论分析表明:该联合算法定位性能优于单独定位,定位精度在有或无地球约束时均可达联合的克拉美罗界。更多还原

【Abstract】 To improve positioning accuracy of independent time difference of arrival(TDOA) or independent frequency difference of arrival (FDOA),an analytic solution of TDOA achieving the Cramer-Rao lower bound (CRLB) is given first,then a maximum likelihood(ML) grid search method is used to obtain the FDOA solution,and finally a joint solution based on selection fusion of TDOA/FDOA uncorrelated estimation (SFUE) is used to combine the TDOA and FDOA solutions.From simulation and theory analysis,it follows that the positioning accuracy of this algorithm is better than those of independent TDOA and FDOA,and has achieved the joint CRLB of TDOA and FDOA with and without earth constraint(EC).更多还原