After you import file data (as described in Import Property Values from Data Files), you can convert a matrix of single-ended S-parameter data to a matrix of mixed-mode S-parameters.
This section contains the following topics:
To convert between 4-port single-ended S-parameter data and 2-port differential-, common-, and cross-mode S-parameters, use one of these functions:
s2scc
— Convert
4-port, single-ended S-parameters to 2-port, common-mode
S-parameters (Scc).
s2scd
— Convert
4-port, single-ended S-parameters to 2-port, cross-mode S-parameters
(Scd).
s2sdc
— Convert
4-port, single-ended S-parameters to cross-mode S-parameters
(Sdc).
s2sdd
— Convert
4-port, single-ended S-parameters to 2-port, differential-mode
S-parameters (Sdd).
To perform the above conversions all at once, or to convert larger data sets, use one of these functions:
Conversion functions support a variety of port orderings. For more information on these functions, see the corresponding reference pages.
In this example, use the toolbox to import 4-port single-ended
S-parameter data from a file, convert the data to 2-port differential
S-parameter data, and create a new rfckt
object
to store the converted data for analysis.
At the MATLAB® prompt:
Type this command to import data from the file default.s4p
:
SingleEnded4Port = read(rfdata.data,'default.s4p');
Type this command to convert 4-port single-ended S-parameters to 2-port mixed-mode S-parameters:
DifferentialSParams = s2sdd(SingleEnded4Port.S_Parameters);
Note
The S-parameters that you specify as input to the s2sdd
function
are the ones the toolbox stores in the S_Parameters
property
of the rfdata.data
object.
Type this command to create an rfckt.passive
object
that stores the 2-port differential S-parameters for simulation:
DifferentialCkt = rfckt.passive('NetworkData', ... rfdata.network('Data', DifferentialSParams, 'Freq', ... SingleEnded4PortData.Freq));
After you import file data (as described in Import Property Values from Data Files), you can extract a set of data with a smaller number of ports by terminating one or more ports with a specified impedance.
This section contains the following topics:
To extract M-port S-parameters from N-port S-parameters, use
the snp2smp
function with the following syntax:
s_params_mp = snp2smp(s_params_np, z0, n2m_index, zt)
where
s_params_np
is an array
of N-port S-parameters with a reference impedance z0
.
s_params_mp
is an array of M-port
S-parameters.
n2m_index
is a vector of
length M specifying how the ports of the N-port
S-parameters map to the ports of the M-port S-parameters.
is
the index of the port from n2m_index
(i
)s_params_np
that
is converted to the i
th port of s_params_mp
.
zt
is the termination impedance
of the ports.
The following figure illustrates how to specify the ports for the output data and the termination of the remaining ports.
For more details about the arguments to this function, see the snp2smp
reference page.
In this example, use the toolbox to import 16-port S-parameter
data from a file, convert the data to 4-port S-parameter data by terminating
the remaining ports, and create a new rfckt
object
to store the extracted data for analysis.
At the MATLAB prompt:
Type this command to import data from the file default.s16p
into
an rfdata.data
object, SingleEnded16PortData
:
SingleEnded16PortData = read(rfdata.data,'default.s16p');
Type this command to convert 16-port S-parameters to 4-port S-parameters by using ports 1, 16, 2, and 15 as the first, second, third, and fourth ports, and terminating the remaining 12 ports with an impedance of 50 ohms:
N2M_index = [1 16 2 15]; FourPortSParams = snp2smp(SingleEnded16PortData.S_Parameters, ... SingleEnded16PortData.Z0, N2M_index, 50);
Note
The S-parameters that you specify as input to the snp2smp
function
are the ones the toolbox stores in the S_Parameters
property
of the rfdata.data
object.
Type this command to create an rfckt.passive
object
that stores the 4-port S-parameters for simulation:
FourPortChannel = rfckt.passive('NetworkData', ... rfdata.network('Data', FourPortSParams, 'Freq', ... SingleEnded16PortData.Freq));
After you import file data (as described in Import Property Values from Data Files), you can cascade two or more networks of N-port S-parameters.
To cascade networks of N-port S-parameters, use the cascadesparams
function
with the following syntax:
s_params = cascadesparams(s1_params,s2_params,...,sn_params,nconn)
where
s_params
is an array of cascaded
S-parameters.
are
arrays of input S-parameters.s1_params
,s2_params
,...,sn_params
nconn
is a positive scalar
or a vector of size n-1
specifying how many connections
to make between the ports of the input S-parameters. cascadesparams
connects
the last port(s) of one network to the first port(s) of the next network.
For more details about the arguments to this function, see the cascadesparams
reference page.
In this example, use the toolbox to import 16-port and 4-port
S-parameter file data and cascade the two S-parameter networks by
connecting the last three ports of the 16-port network to the first
three ports of the 4-port network. Then, create a new rfckt
object
to store the resulting network for analysis.
At the MATLAB prompt:
Type these commands to import data from the files
default.s16p
and
default.s4p
, and create the 16- and 4-port
networks of
S-parameters:
S_16Port = read(rfdata.data,'default.s16p'); S_4Port = read(rfdata.data,'default.s4p'); freq = [2e9 2.1e9]; analyze(S_16Port, freq); analyze(S_4Port, freq); sparams_16p = S_16Port.S_Parameters; sparams_4p = S_4Port.S_Parameters;
Type this command to cascade 16-port S-parameters and 4-port S-parameters by connecting ports 14, 15, and 16 of the 16-port network to ports 1, 2, and 3 of the 4-port network:
sparams_cascaded = cascadesparams(sparams_16p, sparams_4p,3)
cascadesparams
creates a 14-port network. Ports 1–13 are the first 13 ports of the
16-port network. Port 14 is the fourth port of the 4-port
network.Type this command to create an rfckt.passive
object that stores the 14-port S-parameters for
simulation:
Ckt14 = rfckt.passive('NetworkData', ... rfdata.network('Data', sparams_cascaded, 'Freq', ... freq));
For more examples of how to use this function, see the cascadesparams
reference page.