双基阵被动定位位置估计算法研究

Analysis of algorithm for passive localization with dual arrays

根据双基阵被动定位的特点,分别论述了仅利用方位测量信息的交叉测向法定位原理和利用方位及时延差测量信息的测向测时差法定位原理,并在相同的仿真条件下,对两种方法的定位性能进行了比较。介绍了可提高被动定位精度的数据预处理和最小二乘拟合方法。通过蒙特卡洛仿真分析比较了基阵位置、基阵间距及各种测量参数改变对定位性能的影响。仿真结果表明,基于纯方位测量信息和方位 时延差测量信息的双基阵被动定位方法,避免了观测平台的机动,具有较好的可观测性,经过必要的改进,可用于对海上机动目标的无源定位。

This paper describes two methods of passive localization with dual arrays. The first is based on angular measurements only, and the second on both angular and time delay measurements. Comparison of the two methods is presented. Preprocessing of data and the method of least squares are used to improve the precision of localization. Monte Carlo simulation demonstrates the effects of the array location, the spacing between the two arrays, and changes in some measured parameters. Simulation results show that, by using bearing-only data or bearing and time delay data in localizing moving targets, the need for array maneuvers can be eliminated with better observability. With certain improvements, the algorithms can be used in target localization at sea.