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近空间雷达网角度定位算法
引用本文:李国帅,冯金富,王燊燊,王聪.近空间雷达网角度定位算法[J].空军工程大学学报,2013,14(1):40-43.
作者姓名:李国帅  冯金富  王燊燊  王聪
作者单位:空军工程大学航空航天工程学院,陕西西安,710038
摘    要:研究了一种基于角度信息的近空间雷达网定位算法.首先根据几何关系将目标与各站的关系方程转换成线性方程,并求出带噪声的最小二乘解,然后通过最大似然估计将定位问题转化成无约束极值问题,以最小二乘解为初值,利用DFP算法进行迭代求得更精确的定位解,并给出了求解的详细步骤,最后推导了几何精度因子的表达式,并对算法性能和定位精度进行了仿真分析,证明了算法的有效性.

关 键 词:雷达网  最大似然  DFP算法  几何精度因子

Angle Positioning Algorithm for Near Space Radar Networks
LI Guo-shuai,FENG Jin-fu,WANG Shen-shen,WANG Cong.Angle Positioning Algorithm for Near Space Radar Networks[J].Journal of Air Force Engineering University(Natural Science Edition),2013,14(1):40-43.
Authors:LI Guo-shuai  FENG Jin-fu  WANG Shen-shen  WANG Cong
Abstract:A location algorithm for near space radar networks based on angle information is researched in this paper, firstly, the relationship equations of target and radar stations are translated into linear equations based on geometric relationship, and the least-square solution including noise is found. And then the location issue is transformed into unconstrained extremum problem by the way of maximum likelihood estimation, taking the least-square solution as an initial value, the more accurate positioning solution is worked out using DFP algorithm, and the detailed process is given at the same time. Finally, the expression of geometric dilution precision (GDOP) is deduced, and simulation analysis for the performance of the algorithm and the location accuracy is presented, all of this proves that the algorithm is effective.
Keywords:radar networks  maximum likelihood  DFP algorithm  GDOP
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