摘要
针对目标融合跟踪算法在解算时,假定测量噪声为高斯白噪声与实际测量为"闪烁噪声"不相符的情况,提出一种交互式多模型粒子滤波的毫米波/电视复合制导无人攻击机火力解算融合跟踪算法,该算法适用于非线性、非高斯条件下、多传感器信息融合跟踪;可在有干扰的情况下,通过模型转换,实现模型的匹配,有效跟踪机动目标。通过数字仿真,验证了该算法具有较强的目标机动自适应能力,对提高MMW/TV复合制导UCAV的攻击效果有重要意义。
To consider disaccord between white Gaussian noise made by measurement noise and long-tail flicker noise measured in practice when target fusion tracking algorithm solving the data, a fusion tracking algorithm of fire solution for MMW/TV combined guidance UCAV based on IMM-PF was presented. The algorithm can be used for multi-sensor information fusion tracking under nonlinear and non-Gaussian circumstance. Also, it can be used to track mobile target through transforming the model to match the target mobile model under the inter- ference of flicker noise. The digital simulation results show that the algorithm has better adaptive capability for mobile target and it is impor- tant to improve attack effect of MMW/TV combined guidance UCAV.
出处
《弹箭与制导学报》
CSCD
北大核心
2012年第4期1-3,8,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
航空科学基金资助
