Aiming at the problem of range error caused by signal processing algorithm of digital airborne multi-pulse laser rangefinder, a noise reduction algorithm to reduce the distortion of pulsed laser echo waveform and correction measures to improve the accuracy of laser ranging are proposed, which can be used for precise positioning of pulsed laser targets. First of all, the range error introduced by the digital signal processing algorithm is analyzed by combining target detection process of digital multi-pulse laser. It is pointed out that the signal sampling rate limits the range resolution of the target location, and the nonlinear phase frequency characteristic of the low-pass filtering is the main factor that causes the distortion of the waveform and the peak offset. Then, aiming at these problems, a specific algorithm for improving the accuracy of multi-pulse laser target localization is given. The wavelet decomposition of the echo signal is implemented based on the symmetric wavelet basis, and the wavelet coefficients are processed by the improved Donoho threshold to reduce the offset of the peak position of the reconstructed target waveform. The peak point of the target echo is searched by the differential combinatorial function, and based on the asymmetric Gauss pulse model, the high sampling rate fitting is performed to correct the position of the peak point and improve the accuracy of localization. Finally, the suitable wavelet bases are selected through simulation, the improvement of signal-to-noise ratio (SNR) and the performance of peak point localization with different algorithms are compared. In the outdoor tower, the extinction ratio laser ranging experiment is carried out. The results show that the laser target localization accuracy is less than 2 m when the SNR is 1.5 and the performance of the multi-pulse laser target precise positioning algorithm is verified.