The detection of the 1.420 GHz hydrogen line emitted by the Milky Way shows significant challenges due to the weak nature of the signal and the presence of background noise. This study evaluates various spectral estimation techniques to enhance the detectability of this signal. A radio telescope system composed by a 2.5 m parabolic dish, RF conditioning stages with 70 dB gain, and a digital receiver is developed to capture the astronomical signal. Both classical (Bartlett, Welch, and Correlogram) and parametric (Burg and Yule-Walker) Power Spectral Density (PSD) estimation methods are implemented and compared using real data captured in Quito, Ecuador. Results indicate that, while parametric methods offer high spectral resolution, they are less effective at noise suppression. The correlogram method achieves the best balance, offering an improvement of 7.62 dB between signal and noise, making it the most suitable for hydrogen line detection.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Spectral Estimation for Hydrogen Line Detection in the Milky Way

  • Fernando Lara,
  • Aldrin Reyes,
  • Daniel Altamirano,
  • Darwin Mena,
  • Hernan Barba Molina,
  • Ericson Lopez

摘要

The detection of the 1.420 GHz hydrogen line emitted by the Milky Way shows significant challenges due to the weak nature of the signal and the presence of background noise. This study evaluates various spectral estimation techniques to enhance the detectability of this signal. A radio telescope system composed by a 2.5 m parabolic dish, RF conditioning stages with 70 dB gain, and a digital receiver is developed to capture the astronomical signal. Both classical (Bartlett, Welch, and Correlogram) and parametric (Burg and Yule-Walker) Power Spectral Density (PSD) estimation methods are implemented and compared using real data captured in Quito, Ecuador. Results indicate that, while parametric methods offer high spectral resolution, they are less effective at noise suppression. The correlogram method achieves the best balance, offering an improvement of 7.62 dB between signal and noise, making it the most suitable for hydrogen line detection.