以军用工程车辆中挖掘机为研究对象,根据其工作原理、结构、使用、保养、维修情况,进行监测系统的总体设计,并以ARM微控制器为核心,应用嵌入式技术完成了信号采集及处理、液晶显示、数据存储等模块硬件设计,在KeilC开发环境下进行了系统软件开发,具有实时性好、可靠性高、监测精度高、系统扩展方便等特点,提高了军用工程车辆的在线故障检测与现场快速维修保障能力.

Rao-Blackwellised Particle Filtering(RBPF) is a class of particle filter.A particular nonlinear radar target tracking problem is analyzed in detail,this kind of problem is often dealt with linearization and it is failed when correlation between measurement noise is too big.In this simulation test,multi-weight of RBPF is discussed and a doable way is proposed,the performance of RBPF under much correlation of noise is analyzed,relative estimate error of RBPF is also discussed when time processes.

The optimization of an observer trajectory when the observer tracks a constant acceleration target is taken into account.First,optimal control theory is applied to establish the optimal trajectory model of an observer.Second,at the global range accuracy criterion,necessary conditions for the optimal observer course are resolved by analytical means.Finally,the influences of speed of the observer,acceleration of targets,relative target initialization range,and target course on the optimal observer trajectory are discussed by simulation.Simulation results show that the optimal observer trajectory is almost smooth when near targets approach the observer at small acceleration and the observer should maneuver at high speed along the optimal trajectory for the sake of tracking constant acceleration targets accurately.

To investigate the optimal observer trajectory when a bearings-only observer tracks a constant acceleration target,optimal control theory was applied to establishing the optimal trajectory model of an observer.According to the range accuracy criterion,necessary conditions of the optimal course for constant speed observer were resolved by analytical means.The influence of relative target initialization range,acceleration of the target and the speed of the observer on the optimal observer trajectory was discussed by simulation.Simulation results show that when the target acceleration is small,its slight increase improves the estimation precision of the target range,yet the smoothness of the optimal declines,and that when the target maneuvers with a relative high acceleration,the observer must maneuver strongly to ensure the observability requirement.

A new method for infrared weak small target enhancement based on image fusion was presented. The structure of this method is two times fusion. In first fusion stage, the simple image fusion method is used to fuse the continuous frames. In second fusion stage, the multiscale decomposition method is used to decompose the result from first fusion stage and then fuse them. The fusion effect with different multiscale decomposition methods such as the Wavelet transform, the Contourlet transform and the Wavelet-based Contourlet transform (WBCT) is contrasted. The experimental results show that the method is effective and can enhance infrared weak small targets.