Aeroflex 6210 Analyzer
Manufacturer:
Model:
6210
Date:
2003
Class:
Type:
SubType:
Reflection Analyzer
Information
6210 enhances the capability of 6200B series by providing
precision reflection coefficient and time
domain measurements
• Excellent directivity and test port match
for precise measurements of reflection
coefficient
• Time domain
Software for pinpointing
impedance discontinuities in devices or
systems
• Polar and Smith Chart displays to facilitate
matching of devices in circuits
• Fast sweep rate to speed up alignment of
components in production test
• Wide range of calibration kits for 3.5 mm,
Type N and 7 mm connectors
• Works with standard 6200 series
Microwave
Test Set for easy upgrade
route
The
6210 Reflection
Analyzer is designed specifically
for precision measurements of reflection
coefficient from 250 MHz to 26.5 GHz.
6210 fits
underneath a 6200B series Microwave
Test Set
(MTS) which provides the synthesized signal
source and
Analyzer display to form a single integrated
test system.
6210 consists of additional
hardware and
Software to enable error corrected
reflection coefficient measurements with both
cartesian and polar displays.
Accurate Return Loss Measurements
Reflection coefficient is the primary performance
test for microwave systems and components.
Return loss and VSWR are derivatives of reflection
coefficient, they can be measured with a standard
scalar
Analyzer and a directional RF bridge such as
an autotester. An analysis of return loss measurements using an
autotester shows that errors are dominated by test port
match and
directivity. The
6210 Reflection
Analyzer makes error corrected
return loss measurements to give improved accuracy and reduced
uncertainty. The test port match and directivity achieved
with 6210
is significantly better than that obtainable from autotesters.
Manual type:
Datasheet
Pages:
8
Size:
1.28 Mbytes (1346002 Bytes)
Language:
english
Revision:
4
Manual-ID:
46891/055
Date:
01 December 2003
Quality:
Electronic document, no scan, very well readable.
Upload date:
05 February 2017
MD5:
45bf680632754db51684ed532fe1791f
Downloads:
399
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