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修正的交互加速度补偿机动目标跟踪算法
引用本文:石一鸣,张安清,陆兴健,钟良军.修正的交互加速度补偿机动目标跟踪算法[J].火力与指挥控制,2011,8(8):184-186.
作者姓名:石一鸣  张安清  陆兴健  钟良军
作者单位:1. 解放军91550部队,辽宁大连,116023
2. 海军大连舰艇学院,辽宁大连,116018
3. 浙江省义乌市能源利用监察大队,浙江义乌,322000
摘    要:为了提高交互加速度补偿算法(IAC)的滤波精度,通过引入一个改进因子自适应地调整过程噪声协方差,给出了一种新的算法.在给定的初始条件下,通过蒙特卡罗仿真,将修正的IAC算法与IAC算法进行比较,结果表明修正的交互加速度补偿算法在目标发生机动时具有更好的跟踪性能.

关 键 词:目标跟踪  交互加速度补偿  过程噪声  改进因子

Maneuvering Target Tracking Algorithm Based on Improved Interactive Acceleration Compensation Filter
SHI Yi-ming,ZHANG An-qing,LU Xing-jian,ZHONG Liang-jun.Maneuvering Target Tracking Algorithm Based on Improved Interactive Acceleration Compensation Filter[J].Fire Control & Command Control,2011,8(8):184-186.
Authors:SHI Yi-ming  ZHANG An-qing  LU Xing-jian  ZHONG Liang-jun
Institution:SHI Yi-ming1,ZHANG An-qing2,LU Xing-jian2,ZHONG Liang-jun3(1.91550 Unit of PLA,Dalian 116023,China,2.Dalian Naval Academy,Dalian 116018,3.Energy Using Manager Center,Yiwu 322000,China)
Abstract:A new algorithm is proposed to improve the accuracy of filtering,which will be modified by introducing adaptive factors to adjust process noise.At the given initial conditions,Monte Carlo simulation experiments were carried and the capability of the two algorithms were analyzed.The simulation results show comparing with IAC algorithm,the modifying IAC algorithm achieve excellent tracking performance for maneuvering target.
Keywords:target tracking  interactive acceleration compensation  process noise  adaptive factors  
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