水下移动传感器网络部署环境复杂,节点易失效,覆盖率和能耗是其重要的性能指标.文章建立水下移动传感器网络的覆盖率优化和能量消耗目标函数,提出了基于人工鱼群算法的寻优策略,仿真结果表明,与传统算法相比,该算法能够有效提高网络覆盖效率,同时降低了网络节点能耗,从而能够提升网络的感知服务能力和延长网络生存周期.

指挥控制过程模型是指挥控制模型体系的重要组成,为满足信息化战争中构建、仿真指挥实体的需要,解决当前指挥过程模型构建中存在自然语言描述多,规范化表达少;重运行轻演化等不足,对适合信息化战争的新一代指挥控制过程模型进行设计,提出模型的框架,运用OODA环和Agent建模技术进行建模,并对模型的特点进行分析,给出模型发展的建议,模型能解决既有不足,反映信息化战争指控模型特征,为我军构建新一代指挥控制过程模型提供有益的参考.

In order to improve the simulation model development efficiency and reduce the maintenance cost of simulation model, according to requirements of the formalized modeling of model rules,the visual expression model of entity behavior rule model based on the finite state machine is put forward. And then this paper designs the visual modeling tool framework of rules based on the finite state machine and conducts a theoretical exploration on the realization of visualization model rules for engineering.

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.

Resampling is a critically operation to solve degeneracy problem with particle filters.The common characteristics with traditional resampling algorithms,such as system resampling,residual resampling and Bolic's "residual-systematic resampling",are all high complexity and large storage.Time efficiency bottlenecks the practicability of particle filters.Particle filters were reviewed and a new high real-time resampling algorithm called simple resampling was proposed.The simulation results prove the proposed algorithm has the same precision,but it is low complexity,high speed,and suitable for hardware implementation.

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.