A depth image reconstruction algorithm based on background noise censoring

Huang, Pengwei; He, Weiji; Gu, Guohua; Chen, Qian

doi:10.1117/12.2539662

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…In solar radio telescope, the background noise is a time-varying random signal, which cannot be modeled in time domain [25]. Therefore, when the solar radio telescope works in a linear state, the noise signals from the analog receiver, digital receiver and receiving antenna will remain approximately unchanged for a period of time.…”

Section: Theoretical Basismentioning

confidence: 99%

Research on interference and noise reduction technology of solar radio observation system

Zhang

Shen

et al. 2023

Phys. Scr.

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The dynamic spectrum of solar radio burst is a very important tool to study the characteristics of solar radio burst. However, due to the influence of the instruments noise of the solar radio telescope, external interference, the change of ambient temperature, absorption of clouds and so on, the sensitivity of the observation system will be reduced. In particular, the weak solar radio burst signal is easily submerged by various interference signals. In order to improve the sensitivity of solar radio telescope to observe solar radio burst signals and remove narrow-band interference signals, a spectrum data processing algorithm of spectral subtraction method based on entropy and energy threshold values (SSM-EE) is proposed in this article. There are multiple processing steps of SSM-EE. The new spectrum data are obtained by subtraction method between the original spectrum data and the noise floor data. After a large number of data simulation and verification of the actual observation data, it shows that the method proposed in this article has good practical value.

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Section: Theoretical Basismentioning

confidence: 99%