Abstract: Inthespacetargettrackingproblem，themodelmismatchcausedbytargetmaneuveringleadstoserious    hysteresis.Inordertotrackspatialtargetfaster，thesuboptimalfadingparameterofstrongtrackingfilter(STF)wasintroducedinsquarerootcubatureKalmanfilter(SCKF)，andtheequivalentformwasderived.Onthebasisofmaneuveringdetection，anadaptivestrongtrackingsquarerootcubatureKalmanfilter(AST-SCKF)whichcombinedtheaccuracyandrobustnesswasdesigned.Theresultsofsimulationshowthatthedifferenceinpositionalaccuracybetweentwoalgorithmsislessthan1%beforethemaneuvering，butafterthemaneuvering，itturnsoutthattheconvergenceaccuracyoftheAST-SCKFwas95.19%higherinpositionand30.50%fasterinvelocity.Meanwhile，theconvergencespeedofAST-SCKFwas57.20%and24.68%fasterthanSCKFintermsofpositionandvelocityrespectively.

Key words: spatialtargetlocalization, maneuveringtarget, bearingonly, adaptivefilter, cubatureKalmanfilter, strongtrackingfilter, suboptimalfadingparameter, maneuveringdetection