Aiming at the problems of high false alarm rate and poor detection performance of millimeter wave radar airport runway foreign body (Foreign Object Debris,FOD) detection algorithm,a FOD detection method based on bispectral features and support vector domain description (Support Vector Domain Description,SVDD) classifier is proposed.Firstly,the FOD and background clutter signals received by millimeter wave radar are transformed into bispectral domain,then the two dimensional features of bispectral entropy and second order statistics are extracted to form the feature vector as the input of SVDD.Finally,SVDD classifier is used to realize FOD detection in the feature domain.At the same time,in order to improve the performance of SVDD algorithm,a genetic simulated annealing algorithm (Genetic Simulated Annealing Algorithm,GSAA) is proposed to optimize the kernel parameters and penalty factors of SVDD.Based on the real airport data obtained by 77GHz millimeter wave radar,the experimental results show that compared with the traditional methods,the proposed method can not only obtain higher detection performance,but also significantly reduce the false alarm rate.