首页 | 本学科首页   官方微博 | 高级检索  
     

有色噪声下基于总体最小二乘和卡尔曼滤波的无源定位方法
引用本文:苏伟,王国宏,白晶,钟佩琳.有色噪声下基于总体最小二乘和卡尔曼滤波的无源定位方法[J].弹箭与制导学报,2009,29(4).
作者姓名:苏伟  王国宏  白晶  钟佩琳
作者单位:海军航空工程学院,山东烟台,264001
基金项目:全国优秀博士学位论文作者专项基金,"泰山学者"建设工程专项经费资助 
摘    要:研究了有色量测噪声条件下存在系统误差时的单站纯方位角无源定位问题, 给出了一种新的迭代总体最小二乘Kalman滤波算法.该算法利用总体最小二乘法(TLS)进行无源定位,并通过有色量测噪声下的Kalman滤波对系统误差进行估计,将该滤波与TLS进行迭代,可有效抑制色噪声的干扰并大大减小系统误差对定位精度的影响,计算机仿真验证了该算法的有效性,且其性能优于文中其他几种算法.

关 键 词:系统误差  有色噪声  无源定位  总体最小二乘  卡尔曼滤波

Bearings-only Passive Target Localization Based on TLS and Kalman Filter with Colored Noise
SU Wei,WANG Guohong,BAI Jing,ZHONG Peilin.Bearings-only Passive Target Localization Based on TLS and Kalman Filter with Colored Noise[J].Journal of Projectiles Rockets Missiles and Guidance,2009,29(4).
Authors:SU Wei  WANG Guohong  BAI Jing  ZHONG Peilin
Affiliation:SU Wei,WANG Guohong,BAI Jing,ZHONG Peilin(Naval Aeronautical , Astronautical University,Sh,ong Yantai 264001,China)
Abstract:The single station bearings-only passive target localization is studied when system bias is existent and the observation noise is colored noise,a new iterative TLS-KF algorithm is given.The algorithm utilize the total least squares(TLS) to passive target localization,and the system bias is estimated by using the Kalman filter with colored noise,the iteration of the filter and TLS can restrain the disturbance of colored noise in observation and minish the effect of system bias obviously.Simulations have prov...
Keywords:system bias  colored noise  passive location  total least squares  Kalman filter  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号