基于AOA的双机无源定位模型及其解算方法

在双机协同的无源定位算法中,角度信息有着非常重要的作用。为解决双机无源定位问题,提出了一种只利用角度信息的定位模型,并同时消去中间变量距离的影响。对比了最小二乘法、加权最小二乘法、总体最小二乘法、渐进无偏估计法等方法对该双机定位模型的解算。相比时差/到达角联合定位算法模型,该算法需要更少的观测信息和更少的观测误差,就能提高定位精度。仿真结果验证了上述4种解算算法的定位性能,证明了该算法在定位精度上的优秀性能。最后,还对4种算法在不同误差和约束条件下在双机协同观测定位中的定位精度进行了对比。

AOA based dual-aircraft passive positioning model and its location methods

The angle information usually plays a very important role in the passive positioning algorithms of two-aircraft coordination. Focusing on the dual-aircraft passive positioning problem, a positioning model using azimuth and elevation angle information is proposed, which can eliminate the influence of intermediate variable distance. In the location implementation, an ordinary least squares method, a weighted least squares method, a total least square method and an asymptotic unbiased estimation method are exploited to solve the location problem based on the proposed dual-aircraft positioning model. Comparing with time difference of arrival (TDOA)/angle of arrival (AOA) positioning algorithms, the proposed AOA algorithm requires less observation information, which introduces less observation errors and can improve the final positioning accuracy. The numerical simulation results verify the positioning performance of the four methods and show better performance of positioning accuracy comparing with TDOA/AOA. This paper also compares the positioning accuracy of the four algorithms in dual-aircrafc cooperative observation and positioning under different errors and constraints.