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Developing a process for estimating Doppler frequency
from raw data
Shannon Rodríguez, Student
University of Puerto Rico Mayagüez Campus
NASA Goddard Space Flight Center- SIECA Program
ABSTRACT
Radars are important instruments for studying the Earth system. Meteorological radars have a long heritage for measuring precipitation and have more recently been develo
To this end, the Cloud Radar System (CRS), a 94 GHz (3mm wavelength) polarimetric Doppler radar, was developed for cloud studies. The radar is designed to operate on
OBJECTIVE:
Develop a data acquisition and analysis
method that would help in finding the source of
bias in velocity estimates of CRS.
Cloud Radar System (CRS)
94 GHz Doppler radar
GOALS:
- Gather raw data from radar.
- Develop data analysis
process in MATLAB
DATA ACQUISITION
DOPPLER RADAR
Different methods to
estimate
Doppler frequency:
- FFT
- Pulse Pair
Processing
Dual PRF (5KHz-4KHz)
4 MHz
RF=94GHz
IF=60 MHZ
Radar
Front End
Data
Processing
Filter
ALGORITHM
PULSE PAIR ALGORITHM
Tdel
1
R(TS ) 
M
Tdel
M 1
 P *(n)  P(n  1)
n 1
 Im( R (TS )) 
  a tan 

 Re( R (TS )) 

fd 
2 TS
RESULTS: Code I
Code II
FFT THEORY
Power Spectrum
Power Spectrum
ACKNOWLEDGMENTS
fc
fc+fd
fd
This work was supported by NASA Goddard Space Flight Center and
the SIECA (Summer Institute in Engineering and Computer
Applications) Program through UPRM CLiMMATE laboratory.
Special thanks to Fernando Pellerano, Paul Racette and Lihua Li.

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