低空突防中的多传感器信息融合技术研究

当飞机超低空贴地飞行、航路上多障碍物时,机载传感器容易失效。针对这一情况,本文首先论述了低空突防过程中,机载多传感器系统必须采取的有效信息融合措施;然后对容错控制问题进行了讨论,给出一个多传感器故障检测与隔离算法,使用该算法容易剔除失效的传感器,并将多传感器系统进行重构,降低了失效传感器数据对系统的污染程度;接着给出一个简单实用的分散滤波算法,该算法使得各有效传感器的数据被并行处理,且各局部处理器之间无需数据交换,需存储的数据量较少,提高了系统的实时性,最后的仿真算例说明了这一点

Multisensor Information Fusion for Low Altitude Penetration

Sensors on an aircraft are easy to lose effectiveness if the aircraft flies at low altitude and there are many obstacles on the flight route. Aiming at this fact, this paper suggests that the multisensor system must take effective information fusion measure in the course of penetration at low altitude, studies the fault tolerance problem, and proposes an algorithm about the fault detection and isolation at the sensor level, through which the ineffectual sensors are easily rejected and the systems pollution degree is reduced. Then, a simple and useful information fusion algorithm is given, which can parallelly process the data from each effective sensor, and there is no need to communicate among local processors. Less data need to be stored in these processors, thus the real time processing capacity of the system is improved. Finally, the theoretical analysis is proved by an example.