IJCATR Volume 10 Issue 11

Research on Endpoint Detection Algorithm in High Altitude Explosion Point Location Technology

Yafei Wang, Wen Bin
10.7753/IJCATR1011.1001
keywords : Endpoint detection;Multi-element double threshold; Short-term stability; Weather Modification; Sound source localization

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Aiming at the problem of inadequate positioning accuracy of sound endpoints by the dual-element single-threshold endpoint detection algorithm and the single-element dual-threshold endpoint detection algorithm in the process of locating the sound source of weather modification bombs at high altitudes during artificial weather modification, a multi-element dual threshold endpoint detection algorithm. First, according to the characteristics of high-altitude explosion of weather modification bombs and ground reception, the sound signal is filtered and denoised, divided into frames, and windowed. Then, the time-domain feature short-term energy, short-term zero-crossing rate and frequency domain feature short-term information entropy of each frame of the sound signal are calculated, and double thresholds are set for detection. In this way, the start and end points of the explosion sound in the collected sound signal are found, and the data is imported into the positioning algorithm for processing, and then the explosion point of the weather modification bombs in the high air is located. The test results show that the method can accurately distinguish the end point of effective explosion sound, and has practical application value for the location of the sound source of the high-altitude explosion point of the weather modification bombs.
@artical{y10112021ijcatr10111001,
Title = "Research on Endpoint Detection Algorithm in High Altitude Explosion Point Location Technology",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "10",
Issue ="11",
Pages ="226 - 231",
Year = "2021",
Authors ="Yafei Wang, Wen Bin "}
  • Apply endpoint detection algorithm to explosion sound recognition.
  • Combines the characteristics of the explosion sound in the time domain and frequency domain.
  • Introduce the decision of information entropy.
  • The performance of the algorithm was simulated.