In order to solve the problem of decreasing detection performance of traditional adaptive constant false alarm detector (CFAR) in multi-target environment, the selection strategy of traditional exponential transform-based CFAR (VI-CFAR) is improved. An improved adaptive constant false alarm detector VIHCES-CFAR is proposed. Heterogeneous Clutter Estimating CFAR (HCE-CFAR) and Switching CFAR (S-CFAR) are selected in Clutter edge environment and multi-object interference environment respectively, which improves the ability of target detection in multi-target environment and effectively avoids the problem of target masking. Experimental results show that the SNR of VIHCES-CFAR is 0.05dB lower than that of SVI-CFAR at the detection probability of 0.5, and the detection probability of VIHCES-CFAR is 99.78% in the multi-target environment, and the detection probability of VIHCES-CFAR is about 10-4 in the clutter edge environment. It has stable anti- interference ability and good false alarm control ability. The effectiveness of VIHCES-CFAR detector in solving the problem of target masking is verified by the measured data.