针对无人机在未知环境下航迹规划难的问题,提出一种基于开关卡尔曼滤波器(switching Kalman filter,SKF)无人机定位和航迹规划的方法.根据多假设理论,建立地图观测数据,结合基于INS/GPS/GIS多传感器融合的航迹匹配方法,使用SKF算法完成多传感器融合和多模型的参数估计,实现无人机的自主定位和航迹规划.仿真试验结果表明:该算法稳定性好、收敛速度较快、计算复杂度小,具有较高的航迹估计精度.

军工产品设计定型工作是保证型号研制质量的重要环节.通过分析军工产品设计定型工作现状和存在的问题,结合军工产品研制工作实践经验,从完善设计定型标准、严格实施鉴定试验、考核关键性工艺、加严内控指标、确保技术文件有效、增加技术文件种类及数量、加强“三边”产品控制、推进生产条件鉴定工作8个方面,探讨了提高军工产品设计定型质量的对策和建议.

In order to correct evaluation of radar system performance,the preference programming is introduced to the radar system performance evaluation.The multi-level value tree model is used to establish model,and the algorithm of RICH is extended to the solution of the multi-level value tree.The weight algorithm based on multi-level value tree is presented.Finally,the method is verified with a simulation example for synthetic performance evaluation of radars with uncertain information.The simulation results show that the method is effective,the radar performance under uncertain information can be ranked by it.

According to the feature of airborne mobile platforms with multiple sensors,the significance of multi-sensor target assignment in fusion system of airborne mobile platforms was introduced.Then the shortages of current assignment algorithm were analyzed.A mathematical model of the sensor distribution was established with consideration of priority of target and cooperation of sensors.Then the model based on genetic particle swarm optimization algorithm was built up.Simulation was made and the result showed that this new target assignment method is effective,which has higher stability and faster convergence rate.