摘要
针对新一代后勤保障装备信息化体系中高精度定位需求,提出一种基于凸优化理论的时频差参数高精度提取算法。该算法首先借助互模糊函数初步获取目标定位参数,然后利用逼近曲线和样本点构建"软"、"硬"准则相结合的规划函数,最后利用凸优化理论求解得到分数倍信号采样间隔估计精度的估计结果。仿真实验表明,该算法能够明显改善估计精度,解决了精度受限的问题,从而进一步保证了目标定位精度。
The communications of logistics equipment is important part in information construction of the new generation logistic support equipment. Under this background,a novel high precision parameter estimation algorithm is proposed for TDOA and FDOA based on convex optimization,which can provide a theoretical basis for the information construction of satellite positioning. Firstly,the proposed method uses the cross ambiguity function to obtain the coarse estimation results. Secondly,the convex optimization models based on ‘soft＇and ‘hard＇constraints are constructed by using generalized extended approximation（ GEA） method. Finally,the accurate estimation results can be obtained by the interpolation curve which is solved by the convex optimization theory. Simulation results show that the algorithm can significantly improve the estimation accuracy,and get rid of the problem of limited accuracy,which can further ensure the target positioning accuracy.
出处
《电子信息对抗技术》
2017年第6期25-29,41,共6页
Electronic Information Warfare Technology
关键词
凸优化理论
时差估计
频差估计
互模糊函数
卫星定位
convex optimization theory
TDOA
FDOA
cross ambiguity function
satellite po-sitioning
