红外/毫米波雷达双模制导跟踪融合算法的优化

Optimum fusion algorithms for tracking based on IR/MMW dual-sensor guidance

双模制导是导弹武器系统实现精确打击的关键技术之一,对双模制导跟踪融合算法进行优化研究具有一定的理论价值和工程应用价值。根据红外/毫米波雷达双模制导跟踪融合算法的工程应用要求,从算法的实时性、鲁棒性、抗干扰性等要求出发,设计了跟踪融合算法优化方案:一是构造基于特征层的空情特征,并利用决策层提供的决策可信度因子,对跟踪融合算法进行了相应改进;二是根据模糊神经网络及双模传感器在飞行中的不同特征提供的决策信息,对跟踪融合算法进行了优化调用。进行了相应的仿真分析,证明了方案的可行性。

The dual-sensor guidance is one of the key technical for the missile weapon system to attack precisely, the optimized research based on the dual-sensor guidance track fusion algorithm have certain theory and engineering application value. According to the engineering application request of the optimum fusion algorithms for tracking based on IR/MMW dual-sensor guidance,considering the performance of real- timing,robustness,anti-jamming etc,the project of optimum fusion algorithms for tracking was put forward. First,the feature of the sky condition based on characters was established, the decision credibility factor based on strategic decision was used,and the fusion algorithms for tracking was improved.Second,the decision information was provided based on the different characteristic in-flight and fuzz neural network,the fusion algorithms for tracking was used optimally.At last ,the simulation results show that the algorithm is available.