Estimation of Doppler Spectrum Modes in a Weather Radar for Detection of Hazardous Weather Conditions 


Vol. 27,  No. 3, pp. 205-210, Mar.  2002


PDF
  Abstract

In a Doppler weather radar, high resolution windspeed profile measurements are needed to provide the reliable detection of hazardous weather conditions. For this purpose, the pulse pair method is generally considered to be the most efficient estimator. However, this estimator has some bias errors due to asymmetric spectra and may yield meaningless results in the case of a multimodal return spectrum. Although the poly-pulse pair method can reduce the bias errors of skewed weather spectra, the modes of spectrum may provide more reliable information than the statistical mean for the case of a multimodal or seriously skewed spectrum. Therefore, the idea of relatively simple mode estimator for a weather radar is developed in this paper. Performance simulations show promising results in the detection of hazardous weather conditions.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. G. Lee, "Estimation of Doppler Spectrum Modes in a Weather Radar for Detection of Hazardous Weather Conditions," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 205-210, 2002. DOI: .

[ACM Style]

Jong Gil Lee. 2002. Estimation of Doppler Spectrum Modes in a Weather Radar for Detection of Hazardous Weather Conditions. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 205-210. DOI: .

[KICS Style]

Jong Gil Lee, "Estimation of Doppler Spectrum Modes in a Weather Radar for Detection of Hazardous Weather Conditions," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 205-210, 3. 2002.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880