Barrage jammer
The BarrageJammer
object implements a white
Gaussian noise jammer.
To obtain the jamming signal:
Define and set up your barrage jammer. See Construction.
Call step
to compute the jammer
output according to the properties of phased.BarrageJammer
.
The behavior of step
is specific to each object in
the toolbox.
Note
Starting in R2016b, instead of using the step
method
to perform the operation defined by the System object™, you can
call the object with arguments, as if it were a function. For example, y
= step(obj,x)
and y = obj(x)
perform
equivalent operations.
H = phased.BarrageJammer
creates a barrage
jammer System object, H
. This object generates
a complex white Gaussian noise jamming signal.
H = phased.BarrageJammer(
creates
object, Name
,Value
)H
, with each specified property Name set
to the specified Value. You can specify additional name-value pair
arguments in any order as (Name1
,Value1
,...,NameN
,ValueN
).
H = phased.BarrageJammer(
creates a barrage jammer object, E
,Name
,Value
)H
, with the ERP
property
set to E
and other specified property Names set
to the specified Values.
|
Effective radiated power Specify the effective radiated power (ERP) (in watts) of the jamming signal as a positive scalar. Default: | ||||
|
Source of number of samples per frame Specify whether the number of samples of the jamming signal
comes from the
Default: | ||||
|
Number of samples per frame Specify the number of samples in the output jamming signal as
a positive integer. This property applies when you set the Default: | ||||
|
Source of seed for random number generator Specify how the object generates random numbers. Values of this property are:
Default: | ||||
|
Seed for random number generator Specify the seed for the random number generator as a scalar
integer between 0 and 232–1. This
property applies when you set the Default: |
reset | Reset random number generator for noise generation |
step | Generate noise jamming signal |
Common to All System Objects | |
---|---|
release | Allow System object property value changes |
[1] Ward, J. “Space-Time Adaptive Processing for Airborne Radar Data Systems,” Technical Report 1015, MIT Lincoln Laboratory, December, 1994.