最小平均积分误差粒子滤波算法的研究
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摘要
本文基于粒子滤波算法的多普勒频差定位方法,对粒子样本贫化、定位时间相对较长进行分析,提出了应用最小平均积分误差处理的粒子滤波算法,此方法将最小平均积分误差原理应用到粒子滤波算法中,经过处理,不仅提高粒子滤波的精度,使偏离真实值的点数明显下降,也提高对不变量的估计时间。仿真实验表明:本文提出的算法在对粒子的状态估计优于传统方法,定位精度优于最小平均误差法。
Based on the particle filter algorithm,the particle sampling poorly and the positioning time is long relatively,The particle filter algorithm with minimum mean integral error is introduced.This method not only improves the precision of particle filter,but also reduces the number of points that deviate from the real value,and can improve the estimation time of the invariant quantity.The method is applied to the particle filter algorithm.The proposed algorithm is superior to the traditional method in the state estimation of the particle,and the positioning accuracy is better than the minimum mean error method.
Based on the particle filter algorithm,the particle sampling poorly and the positioning time is long relatively,The particle filter algorithm with minimum mean integral error is introduced.This method not only improves the precision of particle filter,but also reduces the number of points that deviate from the real value,and can improve the estimation time of the invariant quantity.The method is applied to the particle filter algorithm.The proposed algorithm is superior to the traditional method in the state estimation of the particle,and the positioning accuracy is better than the minimum mean error method.
引文
[1]Sallai J,Volgyesi P,Ldeczi A.Radio interferometer using a pseudo-doppler bearing estimation[C]//Information Promcessing in sensor Networks,2009.International Conference on.IEEE,2009:325-336 direction.finding system.
[2]Jauffret,C;Bar-Shalom,Y;Track formation with bearing and frequency measurements in clutter.IEEE Transaction on Aerospace and Electronic System,Vol.26,Issue 6,Nov1990,999-1010.
[3]MO Y W,XIAO D Y.Hybird system monitoring and diagnosing based on particle filter algorithm[J].Acta Automatic a Sinica 2003,29(5):641-648.
[4]VERMA V,LANGFORD J,SIMMONS R.Non-parametric fault identification for space rocers[C]//proc of the 6th Int symposium on Artificial Intelligence,Robitics and Automation in Space.[s.l.]:[s.n.],2001.
[5]Roy R,kailath T,ESPRIT-estimation of signal parameters via rotational invariancetechniques[J],Acoustics,Speech and Signal Processing,IEEE Transaction on,1989,37(7):984-995.
[6]王建,金永镐,董华春,权太范.进化粒子滤波算法在雷达目标跟踪中的应用[J].现代防御技术,2008,36(2),115-118.
[7]卢鑫,朱伟强,郑同良.多普勒频差无源定位的研究[J].航空电子对抗,2008,2(3).
[8]曹爱华,李万春李立群.基于查分进化与遗传算法的多普勒外辐射源定位算的研究[J].信号处理,2009,25(10),1644-1648.
[9]孙仲康,郭福成,冯道旺.单站无源定位跟踪技术[M].北京:国防工业出版社,2009.
[10]Statman,J.K.;Rodemich,E.R.Parameter estimation based on Doppler frequency shifts.IEEE Transaction on Aerospace and Electronic systems,Vol.23,Jan.1987 31-39.
[2][11]周高英.基于多普勒变化率差值的双站无源定位算法的研究[D].南京航天航空大学,2011.
[2]Jauffret,C;Bar-Shalom,Y;Track formation with bearing and frequency measurements in clutter.IEEE Transaction on Aerospace and Electronic System,Vol.26,Issue 6,Nov1990,999-1010.
[3]MO Y W,XIAO D Y.Hybird system monitoring and diagnosing based on particle filter algorithm[J].Acta Automatic a Sinica 2003,29(5):641-648.
[4]VERMA V,LANGFORD J,SIMMONS R.Non-parametric fault identification for space rocers[C]//proc of the 6th Int symposium on Artificial Intelligence,Robitics and Automation in Space.[s.l.]:[s.n.],2001.
[5]Roy R,kailath T,ESPRIT-estimation of signal parameters via rotational invariancetechniques[J],Acoustics,Speech and Signal Processing,IEEE Transaction on,1989,37(7):984-995.
[6]王建,金永镐,董华春,权太范.进化粒子滤波算法在雷达目标跟踪中的应用[J].现代防御技术,2008,36(2),115-118.
[7]卢鑫,朱伟强,郑同良.多普勒频差无源定位的研究[J].航空电子对抗,2008,2(3).
[8]曹爱华,李万春李立群.基于查分进化与遗传算法的多普勒外辐射源定位算的研究[J].信号处理,2009,25(10),1644-1648.
[9]孙仲康,郭福成,冯道旺.单站无源定位跟踪技术[M].北京:国防工业出版社,2009.
[10]Statman,J.K.;Rodemich,E.R.Parameter estimation based on Doppler frequency shifts.IEEE Transaction on Aerospace and Electronic systems,Vol.23,Jan.1987 31-39.
[2][11]周高英.基于多普勒变化率差值的双站无源定位算法的研究[D].南京航天航空大学,2011.