基于多普勒频率变化率机载单站的改进IMM跟踪算法  

Based on the Doppler frequency change rate airborne single IMM tracking algorithm improvements

作　　者：李洪斌[1] 高宪军[2] 

机构地区：[1]空军航空大学研究生队,吉林长春130022 [2]空军航空大学科研部,吉林长春130022

出　　处：《电子设计工程》2016年第12期81-83,共3页Electronic Design Engineering

摘　　要：本文基于机载无源定位中机动目标跟踪的速度慢,精度低等问题,采用多普勒频率变化率作为基本定位方法,在充分研究KF、UKF、GAPF 3种滤波算法的基础上,提出了一种改进的交互式多模型算法(IMMKF-UKF-GPFA),该算法巧妙了分解了复杂的运动形式,融合了KF、UKF、GPFA 3种算法的优点。通过仿真实验,结果表明改进的交互式多模型算法(IMMKF-UKF-GPFA),不仅提高了跟踪精度,还减少了运算量,具有十分重要的实际意义。Based on solve the Airborne Passive Location maneuvering target tracking speed and accuracy problems, the paper use of Doppler frequency rate of change as the basic positioning methods, the strengths and weaknesses IMM-UKF and IMMPF two filtering algorithms are studied. Advantages and disadvantages of the above two algorithms, we propose a modified IMM（IMMKF-UKF-GPFA）, the algorithm clever decomposition of complex forms of exercise, the integration of KF, UKF, GPFA three algorithms advantages. Simulation results show that the improved IMM（IMMKF-UKF-GPFA）, not only to improve the tracking accuracy, but also reduces the amount of calculation has a very important practical significance.

关 键 词：无源定位 多普勒频率变化率 交互式多模型 粒子滤波 

分 类 号：TN953[电子电信—信号与信息处理]