Abstract: A direct-data-domain based joint domain localized(D³JDL) space-time adaptive processing method is proposed which can use statistical information of testing samples aiming at suppressing reverberation under non-stationary background.Different from cascade algorithms,the proposed method does not run direct data domain space-time adaptive processing and joint domain localized algorithm separately.The D³JDL uses the unwanted data matrix constructed by the direct data domain space-time adaptive processing within the space-time testing samples to obtain statistical information.The unwanted data matrix is used as the input data of joint domain localized method.For having no the statistical characteristic mismatching problem between the testing samples and training samples,and utilizing statistical information,the D³JDL method possesses inherent adaptive ability for non-stationary background.The processing results from simulation data and trial data show that the D³JDL has better effect on reverberation suppression than conventional beamformer plus matched filter method and other space-time adaptive processing methods.