Aiming at feature extraction for QAR data, a method of maximum margin discriminant analysis for one-class classification was given, and by adding orthogonality restriction on it, a maximum margin feature extraction method was put forward.For the large sample learning problem of QAR data, a modified representation for maximum margin discriminant analysis for one-class classification with orthogonality restriction was presented, by transforming the modified representation to minimum enclosing ball problem. Finally a maximum margin method of feature extraction based on minimum enclosing ball problem with orthogonality constraints was proposed, which had good performance in the real dataset from a type of aircraft, so it effectively solved the large sample feature extraction problem for QAR data.
