Diversity improvement estimation from rain radar databases using maximum likelihood estimation

K S Paulson, R J Watson, I S Usman

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This research examines route diversity as a fade mitigation technique in the presence of rain, for terrestrial microwave links. The improvement in availability due to diversity depends upon the complex spatio-temporal properties of rainfall. To produce a general model to predict the advantage due to route diversity it is necessary to be able to predict the correlation of rain attenuation on arbitrary pairs of microwave links. This is achieved by examination of a database of radar derived rain rate fields. Given a representative sample of rain field images, the joint rain attenuation statistics of arbitrary configurations of terrestrial links can be estimated. Existing rain field databases often yield very small numbers of high joint attenuation events. Consequently, estimates of the probability of joint high attenuation events derived from ratios of the number of occurrences can be highly inaccurate. This paper assumes that pairs of terrestrial microwave links have joint rain attenuation distributions that are bi-lognormally distributed. Four of the five distribution parameters can be estimated from ITU-R models. A maximum likelihood estimation (MLE) method is used to estimate the fifth parameter, i.e., the covariance or correlation. The predicted diversity statistics vary smoothly and yield plausible extrapolations into low probability situations.
Original languageEnglish
Pages (from-to)168-174
Number of pages7
JournalIEEE Transactions on Antennas and Propagation
Volume54
Issue number1
DOIs
Publication statusPublished - 2006

Fingerprint Dive into the research topics of 'Diversity improvement estimation from rain radar databases using maximum likelihood estimation'. Together they form a unique fingerprint.

  • Cite this