發(fā)布時(shí)間：2018-03-21 01:15

  本文選題：參數(shù)估計(jì)　切入點(diǎn)：粒子濾波　出處：《電子與信息學(xué)報(bào)》2017年03期 　論文類型：期刊論文

【摘要】：多徑干擾是高精度定位的主要誤差源,估計(jì)多徑參數(shù)對(duì)消除多徑誤差,提高導(dǎo)航系統(tǒng)定位精度具有重要意義。針對(duì)擴(kuò)展Kalman濾波(EKF)在進(jìn)行多徑參數(shù)估計(jì)時(shí),存在對(duì)初值敏感,估計(jì)結(jié)果在真值附近具有較大波動(dòng)的缺點(diǎn),該文提出一種基于粒子濾波(PF)和滑動(dòng)平均EKF的多徑估計(jì)算法。該算法首先利用PF得到多徑參數(shù)的粗略估計(jì)值,并將該值作為EKF的初始估計(jì)值,以克服EKF對(duì)初值敏感的問題。接著對(duì)EKF的估計(jì)結(jié)果進(jìn)行滑動(dòng)平均,并將平均后的濾波結(jié)果作為多徑參數(shù)的估計(jì)結(jié)果。仿真結(jié)果表明,改進(jìn)后的多徑估計(jì)算法可有效降低估計(jì)結(jié)果的波動(dòng)幅度,同時(shí)解決了EKF對(duì)初值敏感的問題。
[Abstract]:Multipath interference is the main error source of high precision positioning. It is important to estimate multipath parameters to eliminate multipath errors and to improve positioning accuracy of navigation system. The extended Kalman filter is sensitive to initial values when it is used to estimate multipath parameters. This paper presents a multipath estimation algorithm based on particle filter (PF) and moving average EKF (EKF). Firstly, a rough estimation of multipath parameters is obtained by using PF. In order to overcome the problem that EKF is sensitive to the initial value, this value is taken as the initial estimation value of EKF. Then, the moving average of the EKF estimation result is carried out, and the average filtering result is taken as the estimation result of the multipath parameter. The simulation results show that, The improved multipath estimation algorithm can effectively reduce the fluctuation of the estimation results and solve the problem that EKF is sensitive to the initial value.
【作者單位】： 太原理工大學(xué)信息工程學(xué)院自動(dòng)化系;北京理工大學(xué)復(fù)雜系統(tǒng)智能控制與決策國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金(61503271,61603267) 山西省自然科學(xué)基金(20140210022-7) 復(fù)雜系統(tǒng)智能控制與決策國家重點(diǎn)實(shí)驗(yàn)室開放基金(900101-03910353)~~
【分類號(hào)】：TN713
，

本文編號(hào)：1641618