This paper aims to improve the source tracking efficiency of distributed vibration signals\ngenerated by phase-sensitive optical time-domain reflectometry ..... Considering the two\ndimensions (time and length) of .... signals, the authors saved and processed these signals\nas images after particle filtering. The filtering method could save 0.1% of hard drive space without\nsacrificing the original features of the signals. Then, an integrated feature extraction method was\nproposed to further process the generated image. The method combines three individual extraction\nmethods, namely, texture feature extraction, shape feature extraction and intrinsic feature extraction.\nSubsequently, the signal of each frame image was recognized to track the vibration source. To verify\nthe effect of the proposed method, several experiments were carried out to compare it with popular\nand traditional approaches. The results show that: Hard drive space is greatly conserved by saving\nthe distributed vibration signals as images; the proposed particle filter is a desirable way to screen\nthe vibration signals for monitoring; the integrated feature extraction outperforms the individual\nextraction methods for texture features, shape features and intrinsic features; the proposed method\nhas a better effect than other popular integrated feature extraction methods; and, the signal source\ntracking method has little impact on the positioning accuracy of the vibration source. The research\nfindings provide important insights into the source tracking of ... signals.
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