临近空间平台辅助的超低空目标无源跟踪算法

Near-space platform aided passive tracking algorithm for super-low-altitude targets

提出了一种新的基于时差测量的超低空目标无源定位方法,该方法利用临近空间平台增加高度方向上的基线,形成了一个包含若干子系统的冗余定位系统,每个子系统都能获得一组含有模糊的定位结果,然后通过最近邻匹配消除定位模糊,最后通过对各子系统的简化加权最小二乘(SWLS)融合提高了整个观测空域内的定位精度.将该方法用于对超低空目标跟踪的起始,并通过UKF滤波保持对目标的跟踪,获得了比传统时差定位方法更好的跟踪性能.仿真结果表明,在20 ns的测量精度条件下新方法在50 s内即可进入稳定跟踪状态,跟踪起始误差也减小至百米量级,而传统时差定位方法需要250 s才能进入稳定跟踪状态,跟踪起始误差则超过了千米量级.

A novel near-space platform aided passive location method for super-low-altitude targets using TDOA is proposed. The new method uses a near-space platform as the baseline in the height to form a redundant location system consisting of several subsystems. Each subsystem can obtain a set of location results with ambiguity. After eliminating the ambiguity by the nearest matching, the new method can improve the location accuracy in the whole observed airspace by SWLS fusion. A better tracking performance can be achieved by applying this method to starting the tracking for super-low-altitude targets and keeping the tracking through UKF. Simulation results show that the proposed method comes to stabilization within 50 s and that its tracking initial error can be reduced to the heetometer level with the measurement precision of 20 ns. But the traditional method requires 250 s to go to stabilization and its tracking initial error is greater than the kilometer level.