Abstract: Precise positioning service is a fundamental support for intelligent coal mines. At present, most coal mines are equipped with Ultra-Wideband (UWB)-based precision positioning systems. Underground UWB positioning data jumps are a major factor affecting positioning reliability and accuracy. Existing solutions mainly suppress data jumps by adding auxiliary measurement methods, adjusting hardware, or applying continuous data filtering based on multiple measurements. These methods are difficult to implement, costly, and cannot identify data jumps when positioning tags move across different positioning areas. Taking the commonly used Double-Sided Two-Way Ranging (DS-TWR) method based on Time of Flight (TOF) in underground UWB positioning systems as the research object, this study proposed a ToF 4-WR communication positioning method. On the basis of the traditional 3-way ranging (3-WR) protocol, a measurement verification frame "Check" was added to address the issue that interference in the Response frame communication process of the traditional TOF 3-WR method could not be identified due to the lack of a reference. On this basis, a UWB signal jump identification method integrating multiple-interference verification mechanisms was proposed to identify data jumps in a single positioning process. For extreme cases involving continuous interference or drastic changes in the motion state of the positioning target, an anomaly detection mechanism based on multiple consecutive positioning results was introduced to further verify the reliability of positioning data. For the identified data jumps, the Kalman filter optimal estimation value was used to replace the identified data, achieving UWB positioning data jump suppression. Field tests conducted at Jinfeng Coal Mine showed that this method effectively identified underground UWB positioning jump signals, and the Kalman filter optimal estimation value accurately tracked the actual positioning trajectory, ensuring the accuracy and continuity of positioning data.