Research On Carrier Tracking Technology Of High Dynamic Navigation Signal Based On Kalman Filtering

The rapid deve lopme nt of global satellite navigat ion syste m increases the econo mic and polit ica l influence.Satellite navigat ion receiver is not only w ide ly used in geodesy,vehic le navigat ion and other low dyna mic environme nts,but also pla ying a more and more important ro le in aerospace,precis io n strike weapons(such as smart bombs,miss iles)and other high dynamic environments.In high dyna mic cond it ion,dyna mic mo ment mutat io ns can lead to dramat ic changes in Doppler,result ing in the receiver cannot track the target.There fore,the research of signal receiving techno logy under high dynamic cond it ion has beco me a hot research topic in t he fie ld of sate llite navigat ion.This paper focuses on the C alman filter signa l under the cond it ions of high dynamic tracking algorithm,including the following four aspects:(1)In high dyna mic applicat ion scenarios,the mode l parameters and noise statist ics is d iffic ult to be modeled accurately,which makes the tradit iona l Kalma n filter cannot achie ve opt imal per forma nce and even lead to filter divergence.To so lve the proble m,by analys ing t he limitat io ns of exist ing methods,this thesis puts forward an improved adapt ive extended K alama n filter tracking algor ithm based on improved adaptive innovat io n or residua l.The algorithm estimates no ise varia nce on-line and amends predict ion error covarianc e through the real-time monitor ing of the inno vat ion dyna mic changes,and the n self-adaptive ly adj ust filter ga in to compensate the influe nce of incomp lete informat io n,in order to improve the tracking accuracy of comp le x high dyna mic environme nts.Compare d with t he standard K alman a lgor ithm,the carrier phase error is decreased by about 86%,the Doppler freque ncy error is decreased by about 75% and the Doppler rate error is decreased by about 53%.(2)In high dyna mic applicat ion such as missile-born receiver,hardware resource is ver y limited.In order to adapt ing the dynamic mutat ion under resource-limited cond it ions,the paper proposes a carrier tracking algor it hm based on var iable dimention Kalman filter.The maneuver factor monitors carrier's state changes in real time,self-adapt ive ly switc hs carrier state model,reduces the large error jump caused by mane uver change,event ua lly realizes the ma neuver ing target tracking in high dynamic condition with low complexity.(3)In order to verify the va lid ity o f the proposed K alma n filter ing algorit hm,the thesis designs a mult i-processor architect ure to track navigat ion s igna l,introduce the key modules design of the tracking cha nne l based on K alman filter.Fina lly,thes is verify the tracking loop perfor mance of the sate llite navigat ion signal t hrough the processi ng and analysis of experimental data.