基于角度信息的近空间雷达网定位算法

研究了一种能有效提高角度信息定位精度的近空间雷达网目标定位算法。通过目标与雷达站之间的几何关系,建立基于角度信息的目标定位模型,将方位角与仰角信息的非线性方程转换为线性方程,运用最小二乘算法得到目标位置的初始值,根据最大似然算法将定位问题转化为无约束的优化问题,并利用信赖域方法进行迭代求解,给出了算法的求解过程和详细步骤,在此基础上对算法的定位精度进行了分析,推导了定位的几何精度因子表达式,并进行了仿真分析。仿真结果表明：该算法能有效提高角度信息的定位精度,且其定位性能优于最小二乘算法。研究成果可为近空间雷达网的探测与跟踪提供理论基础。

Location Algorithm for Near Space Radar Network Based on Angle Information

An effective location algorithm for near space radar network based on angle information is discussed in this paper. The location model is established according to the geometric relationship between target and radar station. The nonlinear equations about azimuth and elevation are transformed into linear equations. Least square algorithm is used to get the initial value of the target location. Then the location issue is transformed into a non-constrained optimization issue by the maximum likelihood method. Believable field method is used to solve the optimization issue. The detailed process of the algorithm is also presented. The location accuracy of the algorithm is analyzed and the geometric dilution of precision (GDOP) is obtained. The simulation results show that the use of the algorithm can effectively improve the location precision of angle information and the performance of the proposed method is better than that of the least square method. The research result of this paper provides a theoretical basis for the detecting and tracking of the near space radar network.