The UWB ranging technology is widely used in the industrial field because of its low power consumption and high security. Due to the attenuation of penetration and multi-channel reflection of UWB pulse signal in industrial non line of sight (NLOS) scene, the direct path signal attenuation and multi-path delay will reduce the positioning accuracy of the system. To solve this problem, a disambiguation and reconstruction algorithm is proposed, which is based on UWB channel impulse response by modeling UWB signal transmission and response. This algorithm analyzes the channel impulse cluster signals by Poisson distribution and enhances the characteristics of the head path signals representing the linear propagation distance. Therefore, it realizes the extraction and separation of the direct path signals under complex multipath interference, which improves the identification accuracy of signal arrival time and reduces the UWB ranging error. Furthermore, we simulate the UWB channel response according to the IEEE802015. 4a standard and establish the experimental research system under different sheltered environments. Simulation and experimental results show that the proposed disambiguation and reconstruction algorithm can significantly improve the positioning accuracy in the multi-interference environment. Especially in the industrial NLOS scene with multiple reflectors and multiple obstructions, the error can be reduced by about 79. 1% compared with threshold method.