An algorithm that detects the surface echo peak position in a radar echo ra
nge profile has been developed for the TRMM Precipitation Radar (PR). The p
urpose of the surface echo peak detection is to determine the range window
in which "over-sample" data are collected. The surface echo position in the
range profile is variable due to the systematic change of satellite geodet
ic altitude and surface topography. The dynamic control of the over-sample
range window using the surface detection algorithm contributes significantl
y to the reduction of PR data rate that should be sent to the ground statio
n. The algorithm employs an alpha-beta tracking filter and has three functi
ons; surface tracking, lock-off detection and tracking loop initialization.
After the launch of the TRMM satellite, a series of initial check-out of t
he PR was conducted. The performance of the algorithm was evaluated through
the initial check-out and two-years operation of the PR. The results indic
ate that the algorithm is working as expected and basically meets the speci
fication; however, it is found that some functions such as the tracking loo
p initialization algorithm need to be improved.