基于双波段方位信息融合的单站纯方位跟踪

Bearings-only Tracking Based on Double Wave Band Information Fusion

针对陆地固定观测器单站纯方位跟踪的精度不高、误差大,完全依靠被动的纯方位跟踪无法获得目标的唯一跟踪解这一问题,提出了一种纯方位跟踪信息融合方法。该方法利用方位信息确定目标速度和航向估计的基础上,采用最小二乘估计器,得到目标状态的唯一最小二乘估计,通过融合两组可见光和红外线两个波段的方位信息,综合激光测距仪的距离信息形成唯一跟踪解。仿真结果表明:该方法在信息融合中消除了纯方位跟踪估计偏差,是一个可行的方法。

Generally, the land observer platform is stationary, a single stationary observer＇s bearings-only tracking （BOT） ＇s precision is too low and its error is too big. It is impossible to produce a unique track of the target with a completely passive BOT. Whereas this, this paper develops a BOT data fusion method, first develops a solution for the target speeds and heading, after, a BOT, formulated as a least squares （LS） estimator, then produces a unique LS estimate of the target states. The method fuses two sets of bearing readings from visible and infrared sensors, and together with a LRF measurement, produces a unique track. Result from the simulation experiment has corroborated that the method in the data fusion setting has eliminated the bias in the BOT estimator, and it is feasible.