Vaisala RVP900 - IF Signal Conversion Process

Quantity Description Type
R
0
Zero
th
lag autocorrelation of A'
values
Real
R
1
First lag autocorrelation of A'
values
Complex
R
2
Second lag autocorrelation of A'
values
Complex
SQI
Signal Quality Index
Real
V
Mean velocity
Real
W
Spectrum Width
Real
CCOR
Clutter correction
Real
LOG
(Signal+Noise)/Noise ratio for
thresholding
Real
SIG
Signal power of weather
Real
C
Clutter power
Real
N
Noise power
Real
Z
Corrected Reflectivity factor
Real
T
Uncorrected Reflectivity factor
Real
7.1.2 IF Signal Conversion Process
The following figure shows the overall process by which the RVP900 converts the IF signal
into corrected
reflectivity, velocity, and width, including:
• IF signal processing
• I/Q processing and clutter filtering
• Range averaging and clutter microsuppression
• Moment calculations (reflectivity, velocity, spectrum width)
• Thresholding for data quality and speckle
filtering
• Reflectivity calibration
• Algorithms for ambiguity resolution (dual PRF, dual PRT, random phase)
• Calibration and testing
Chapter 7 – Processing Algorithms
171