机群组网定位的一种新途径

New approach for swarming aircraft positioning via network information

机群组网将成为体系对抗条件下空中行动的一种基本工作模式.提出的机群组网定位技术是基于飞行器相互测距信息优化惯导位置精度的一种新途径,可以明显提高网络节点间的时间同步水平.仿真结果表明:对一个由8架飞机组成的机群,当相互测距误差为20m(1σ)时,经过1.5m in组网定位可将惯导水平位置误差校正到5m之内,同时将时间同步水平提高到1ms左右;经过15m in组网定位可进一步估计每套惯导的误差模型参数,使纯惯导在校正后0.5 h内的定位精度提高约一个量级,达到30 m(CEP,C ircular Error Probabili-ty).周期性的组网定位不仅可以明显提高机群定位精度,还可识别出个别系统的软故障并加以隔离和重构.

The swarming aircraft organized by network will become a basic operation mode for the Airforcc under network centric warfare（NCW） environment. A new approach for swarming aircraft positioning based on mutual distance measurement data is proposed. Simulation results show that the position accuracy for an individual INS in a swarming aircraft group can be improved up to 5m in 1.5 minutes time period if distance measurement error is 20 m （lo＇）. In the meantime the time synchronization between network nodes can be im- proved up to lms. If 15minutes time period is permitted, the parameters of inertial navigation system （INS） error model can also be estimated. After correction the INS position accuracy can be improved up to 30 m （ CEP, circular error probability） in the subsequent half an hour, position accuracy can be increased by about 10 times. The periodic positioning via network can not only obviously increases the positioning accuracy for the swarming aircraft but also detects the soft failure of the particular system and isolates it by system reconfiguration.