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Número de pieza | CLC-CAPT-PCASM | |
Descripción | Data Capture Board Users Guide | |
Fabricantes | National Semiconductor | |
Logotipo | ||
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CLC-CAPT-PCASM
Data Capture Board User’s Guide
October 2000
Section I. Introduction
The CLC3790093 Data Capture Board enables simple evaluation
of National Semiconductor’s High Speed Analog to Digital Con-
verters (ADCs) and the Diversity Receiver Chip Set (DRCS). The
Data Capture Board interfaces the outputs of these devices to the
standard serial port available on the back of most Personal
Computers (PCs). We have provided PC software to control the
data capture function and Matlab® scripts for data analysis.
Table of Contents
I. Introduction
II. Capturing Data from ADC
Evaluation Boards
III. Capturing Data from the DRCS
Evaluation Boards
IV. Data Analysis using Matlab
Script Files
A block diagram of the evaluation test bed is shown below.
The Data Capture Board contains a field-programmable gate
array (FPGA) that controls its operation. An EPROM configures
the FPGA after power is applied. The serial interface is provided
by a UART (Universal Asynchronous Receiver/Transmitter), an
oscillator, and a level translator IC. The captured data is stored in
either three 32K x 8 static RAMs (organized into 24-bit words) or
in a FIFO containing 32K 18-bit words. LEDs provide a visual
indication of activity. DIP switches and a jumper configure several
capture functions.
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Section II. Capturing Data from ADC
Evaluation Boards
Getting Started
To use the Data Capture board to capture data from a National
Semiconductor Analog to Digital converter, you will need the
following hardware, software, and documentation.
DataShee
National Semiconductor
High-Speed Converter
Evaluation Test Bed
CLCXXXX
A/D Converter
Evaluation Board
Digital Receiver
Evaluation Board
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© 2000 National Semiconductor Corporation
Printed in the U.S.A.
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Data
Capture
Board
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Verify the connections and, if necessary, try the other
COM port. (Note that you must have a clock applied to
the ADC Evaluation board during this communication
verification stage. Check to make sure that either an
external clock or the TTL oscillator is installed, and that
LED6 is on at reduced intensity.) Once you get a proper
exit from this step, you are ready to configure the capture
board. Right click on the capture control panel, then left
click on “Configure Capture.” You will see the following
screen:
“Default” and then on “OK”. If you do not have a
C:\temp directory, please make one. The reason for this
is that the Matlab script files for data analysis look
automatically for the file C:\temp\data.dat. If you wish to
store the data elsewhere, you will need to modify the
Matlab m-files to look for your data file in a different
location. Obviously, if you are using your own software
for data analysis this is not a concern.
Capture Data!
We are finally ready to capture data from the ADC. As a
final check, you can move the mouse until it is on top of
the progress bar (the big bar on the data capture control
panel that now reads (0%). You should see a little yellow
box appear that confirms your capture settings.
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Now, simply left-click on the “Start” button on the capture
control panel to start the process. You will see LED 2 light
up on the board, and the bar at the top of the capture
control panel will show the progress of the data transfer.
At 52MSPS, the 32768 samples are collected in only 630
microseconds; the rest of the time is the serial port trans-
To configure the capture board for direct capture of a fer. Typical times for this transfer are on the order of 10 toDataShee
contiguous 32k point record of ADC output codes, click 15 seconds. To analyze the data using the Matlab Mfiles
on the selections shown above. Left click on “DCaatapStuhreeet4Ut.hcaotmwe have provided, please start Matlab at this time. To
Debug” and select “Upper 18 Bits.” The names of these include the provided script files in your Matlab path, type
selections may seem rather cryptic when you are simply the following command at the Matlab command prompt:
capturing ADC data. The label names are derived from
functions in the DRCS and CLC5902, so they might >> path(path,’c:\nsc\mfiles’)
seem out of context for ADC capture uses. Don’t worry
about the label names, just make sure you have selected Alternatively, you can change directories at the Matlab
the modes as shown above. Then click on “OK.”
prompt until this is the current directory. From the Matlab
command prompt, type “analysis_menu”. This will bring
One final configuration remains. You need to tell the up the following menu:
program where to store your data. Right click on the
capture control panel, then left click on “Change Data
File.” You will see the following menu:
By left clicking on the little box to the right of the text entry
window, you can select any disk, directory, and file name
that suits you. However, we recommend that you start
with the default file name and location shown. Click on
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** From the Windows Start Programs menu, launch
the Capture program (it’s inside the C:\nsc folder).
Right click inside the Control Panel and select
Configure I/O and click the appropriate PC COM
port button. Next, right click inside the Control Panel
and select Configure Capture. Select the following
options: Mode = Capture; Bits =24; Channel = A;
From = AOUT; 1st Bit = Capture 1st Bit; Phase =
In Phase Only. Click “OK” and then click the Start
button in the Control Panel to start the data capture.
The progress bar should conclude in about 10 seconds.
** Launch Matlab. Use the Matlab path browser to
include the analysis Mfiles. The installed default
path is: “c:\nsc\mfiles”. Add this to the Matlab paths,
save the directory file and exit the path browser. At
the Matlab command line enter “analysis_menu”. A
GUI will appear. Left click on the DRCS_Serial
button to perform an FFT on the captured data.
The FFT plot above and the analysis results highlight
several setup issues. The poor SINAD (and correspond-
ing ENOB) is due to phase jitter (spec’d as SSB Phase
Noise) of the IF signal source (an HP8656 was used
here). A better choice of signal synthesizer is the
HP8644B, which yields a SINAD of about 60dB under the
same conditions. The main portion of the noise power is
contained in the carrier’s immediate sidebands (±5KHz).
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Another point of interest is that there are several spectral
lines about -75dBFS and 25KHz on
fundamental. These have been traced
either
to the
gsrioduendoflothoepDataShee
DataSheet4Uc.creoamted by the PC serial interface. Both serial interface
cables were connected while this data was being
collected. Removing the cable to the DRCS will reduce
the amplitude of these spurs. Some of the ground loop
The menu disappears while the analysis routine is remains because of the required Capture Board’s serial
running. The process takes 4 - 5 seconds on a 133MHz interface to the PC.
PC and plots the results when finished.
Section IV. Data Analysis Tools
The FFT should report an input power of about -18dBFS. The Matlab scripts contained on the Evaluation Kit
CDROM provide a convenient toolset for evaluation of
32768 Point FFT Analysis
-20
National’s Diversity Receiver ChipSet (DRCS) and high
speed ADCs like the CLC595x family. There are 4 FFT
Pinput (dBFS) = -18.1087 routines and 1 Sine Histogram routine which can be
-40 Output SINAD = 51.7058 called from a user interface menu, “analysis_menu”. Set
-60 Output SFDR = 56.0663 the Matlab path and working directory to that of the
-80
-100
THD (dBFS) = -100.7444
∫ En floor = -69.448
“Mfiles” provided on the Evaluation Kit CDROM. Run
“analysis_menu” from the Matlab command window
to open a graphical user interface. Each of the called FFT
ENOB = 11.302 routines has its appropriate variables set prior to the data
-120 analysis. These variables are explained in the adjacent
-140 text and can be easily edited to adjust for a particular
-160
2 4 6 8 10 12
Frequency
x 104
application from Matlab’s script editor. There are also
comments within the routines that highlight various
analysis blocks.
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