Detection of Point Sound Source Using Beamforming Technique in Complex Environments
作者: Navid NassajiMasoume Shafieian
刊名: Open Journal of Acoustics, 2018, Vol.08 (02), pp.23-35
来源数据库: Scientific Research Publishing Journal
DOI: 10.4236/oja.2018.82003
原始语种摘要: Detection and localization of acoustic events in an environment are important to protect the military and civilian installations. While there are finite paths of wave propagation in simple or low reverberant environments, in complex environments (e.g. a complex urban environment) obstacles such as terrain or buildings introduce multipath propagations, reflections and diffractions which make source localization challenging. Therefore, numeric results of simulated models (simplified and Fort Benning urban models) of 3D complex environments can highly help in real applications. Some of the conventional beamformer algorithms have been used in order to localize point sound source. Analyzing results shows that MRCB beamformer has better performance than others in this issue and its accuracy...
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关键词翻译
关键词翻译
  • numeric 数字的
  • simulate 模拟
  • gradient 倾斜度
  • complex 超群
  • robustness 坚固性
  • reverberant 反射的
  • temperature 温度
  • simplified 简化的
  • urban 城市
  • accuracy 准确度