To detect the phase quantized digital radio frequency memory (DRFM) deception jamming in realistic radar scenarios, an adaptive detector for detecting noise, jamming or echo signal in homogeneous environments is designed. Firstly noise or ″signal″ (filtered echo signal or jamming), is detected through adaptive matched filter (AMF)detector based on generalized likelihood ratio test (GLRT). Then the difference between two space time steering vectors of echo signal and jamming is used to redesign the detector to discriminate the echo signal or the jamming. The detector performance is assessed and analyzed through Monte Carlo simulation and theory deriation, which is compared with clairvoyant detector. Simulation results show that the detector can correctly detect the jamming signal under conditions of low quantization bits and high signal to noise