The　paper　studies　the　problem　of　fault　detection　filter　design　for　uncertain　linear　continuous-time　systems.　A　design　procedure　dealing　with　parameter　uncertainties　is　proposed　for　residual　generation,　the　sensitivity　to　fault　and　the　robustness　against　disturbances　are　both　enhanced　on　residual　outputs　through　satisfying　some　performance　indexes.　By　the　aid　of　the　generalized　Kalman-Yakubovich-Popov　(GKYP)　lemma,　the　fault　sensitivity　performance　index　can　be　dealt　with　in　the　given　frequency　range　directly,　which　avoids　approximations　associated　with　frequency　weights　of　the　existing　techniques.　An　iterative　algorithm　based　on　linear　matrix　inequality　(LMI)　is　given　to　obtain　the　solutions.　A　numerical　example　is　given　to　illustrate　the　effectiveness　of　the　proposed　methods.　Copyright　©　2010　Acta　Automatica　Sinica.　All　rights　reserved.