To verify the feasibility of optical target recognition from laser one-dimensional range profile,laser one-dimensional range profile was used to detect and recognize “cat-eye” targets with different parameters,and a feature extracting method of laser one-dimensional range profile based on bi-spectrum is proposed.Operating range and the SNR gain of laser returns under complicated backgrounds can be improved by signal accumulation and filtering process.And,the remote target detection and robust feature extraction of “cat-eye” targets were realized by using bi-spectrum calculation.By using singular value decomposition and principal component analysis,the computation of the bi-spectrum can be reduced.Lastly,the robustness and effectiveness of the eigenvector were verified by analyzing the real data samples of different distances,types and incidence angles.Compared with other methods,the method can recognize “cat-eye” target and corner reflector,and have the advantages of far operation range for low SNR target.