基于增益调整策略的自适应滤波算法  

Adaptive Filter Algorithm Based on Gain Adjustment Strategy

作　　者：钱洋洋[1] 张金成[1] 李秋江[1] 

机构地区：[1]空军工程大学,陕西713800

出　　处：《战术导弹技术》2007年第3期40-42,58,共4页Tactical Missile Technology

摘　　要：针对工程实际,采用限定下限的衰减稳态增益滤波算法对Kalman滤波的稳态形式进行了扩展,提出了一种新的实时机动辨识算法和滤波增益的调整策略,减小了自适应的滞后误差,提高了跟踪精度;同时对于航迹起始时的暂态过程进行了特殊的处理,极大地改善了滤波的收敛速度.仿真结果表明,跟踪精度能够满足现实C3I系统的工程要求,并且较好地解决了一般自适应算法的精度与先验数据以及算法复杂度之间的矛盾.Based on practical application, a new method is used, which is an extension of Kalman filter New motion detection algorithms is established to reduce the delay in adaptation. It makes a special process to the transient and improves the speed of convergence. Monte Carlo simulation shows that the algorithm can meet the requirements for project application and can solve the paradox between complexity, transcendent data requirement and precision.

关 键 词：机动目标跟踪 实时机动辨识 增益调整 自适应滤波 

分 类 号：TN951[电子电信—信号与信息处理]