phased.WidebandBackscatterRadarTarget

Backscatter wideband signal from radar target

Description

The phased.WidebandBackscatterRadarTarget System object™ models backscattering of a wideband signal from a target. Backscattering is a special case of radar target scattering where the incident and reflected angles are the same. Use this object for monostatic radar configurations. The radar cross-section determines the backscattering response of a target to an incoming signal. This System object lets you specify an angle-dependent radar cross-section model that covers a range of incident angles. The wideband signal is decomposed into frequency subbands which are backscattered independently and then recombined.

This System object creates a backscattered signal for polarized or nonpolarized signals. Although electromagnetic radar signals are polarized, you can often ignore polarization in your simulation and process the signals as scalars. To ignore polarization, specify the EnablePolarization property as false. To employ polarization, specify EnablePolarization as true.

For nonpolarized signals, specify the radar cross section (RCS) as an array of values at discrete azimuth and elevation angles and discrete frequencies. The System object interpolates values for incident angles between array points. For polarized signals, specify the radar scattering matrix (SCM) using three arrays defined at discrete azimuth and elevation angles and discrete frequencies. These three arrays correspond to the HH, HV, and VV polarization components. The VH component is computed by applying the conjugate symmetry property of the HV component. H and V stand for the horizontal and vertical polarization components, respectively.

For both nonpolarized and polarized signals, you can employ one of four Swerling models to generate random fluctuations in the RCS or radar scattering matrix. Choose the model using the Model property. Then, use the SeedSource and Seed properties to randomize the fluctuations.

EnablePolarization	Radar cross-section patterns
false	RCSPattern
true	ShhPattern, SvvPattern, and ShvPattern

To perform wideband target backscattering:

1. Create the phased.WidebandBackscatterRadarTarget object and set its properties.

2. Call the object with arguments, as if it were a function.

To learn more about how System objects work, see What Are System Objects?

Creation

Syntax

target = phased.WidebandBackscatterRadarTarget

target = phased.WidebandBackscatterRadarTarget(Name,Value)

Description

target = phased.WidebandBackscatterRadarTarget creates a wideband backscatter radar target System object, .

target = phased.WidebandBackscatterRadarTarget(Name,Value) creates a wideband backscatter radar target object, with each specified property Name set to the specified Value. You can specify additional name and value pair arguments in any order as (Name1,Value1,...,NameN,ValueN).

Properties

Unless otherwise indicated, properties are nontunable, which means you cannot change their values after calling the object. Objects lock when you call them, and the release function unlocks them.

If a property is tunable, you can change its value at any time.

For more information on changing property values, see System Design in MATLAB Using System Objects.

EnablePolarization — Enable polarized signals

false (default) | true

Option to enable processing of polarized signals, specified as false or true. Set this property to true to allow the target to simulate the reflection of polarized radiation. Set this property to false to ignore polarization.

Example: true

FrequencyVector — Wideband backscatter pattern frequencies

[0,1e20] (default) | real-valued row vector in strictly increasing order

Specify the wideband backscatter pattern frequencies used in the RCS or SCM matrices. The elements of this vector must be in strictly increasing order. The target has no response outside this frequency range. Frequencies are defined with respect to the physical frequency band, not the baseband. Frequency units are in hertz.

Example: [1e3,1e10]

AzimuthAngles — Azimuth angles

[-180:180] (default) | 1-by-P real-valued row vector | P-by-1 real-valued column vector

Azimuth angles used to define the angular coordinates of each column of the matrices specified by the RCSPattern, ShhPattern, ShvPattern, or SvvPattern properties. Specify the azimuth angles as a length P vector. P must be greater than two. Angle units are in degrees.

Example: [-45:0.1:45]

Data Types: double

ElevationAngles — Elevation angles

[-90:90] (default) | 1-by-Q real-valued row vector | Q-by-1 real-valued column vector

Elevation angles used to define the angular coordinates of each row of the matrices specified by the RCSPattern, ShhPattern, ShvPattern, or SvvPattern properties. Specify the elevation angles as a length Q vector. Q must be greater than two. Angle units are in degrees.

Example: [-30:0.1:30]

Data Types: double

RCSPattern — Radar cross-section pattern

ones(181,361) (default) | Q-by-P real-valued matrix | Q-by-P-by-K real-valued array | 1-by-P-by-K real-valued array | K-by-P real-valued matrix

Radar cross-section pattern, specified as a real-valued matrix or array.

Dimensions	Application
Q-by-P matrix	Specifies a matrix of RCS values as a function of Q elevation angles and P azimuth angles. The same RCS matrix is used for all frequencies.
Q-by-P-by-K array	Specifies an array of RCS patterns as a function of Q elevation angles, P azimuth angles, and K frequencies. If K = 1, the RCS pattern is equivalent to a Q-by-P matrix.
1-by-P-by-K array	Specifies a matrix of RCS values as a function of P azimuth angles and K frequencies. These dimension formats apply when there is only one elevation angle.
K-by-P matrix

• Q is the length of the vector specified by the ElevationAngles property.

• P is the length of the vector specified by the AzimuthAngles property.

• K is the number of frequencies specified by the FrequencyVector property.

You can specify patterns for L targets by putting L patterns into a cell array. All patterns must have the same dimensions. The value of L must match the column dimensions of the signals passed as input into the function. However, you can use one pattern to model L targets.

RCS units are in square meters.

Example: [1,1;1,1]

Dependencies

To enable this property, set the EnablePolarization property to false.

Data Types: double

ShhPattern — Radar scattering matrix HH polarization component

ones(181,361) (default) | Q-by-P complex-valued matrix | Q-by-P-by-K complex-valued array | 1-by-P-by-K complex-valued array | K-by-P complex-valued matrix

Radar scattering matrix (SCM) HH polarization component, specified as a complex-valued matrix or array.

Dimensions	Application
Q-by-P matrix	Specifies the scattering matrix polarization component as a function of Q elevation angles and P azimuth angles. The same SCM matrix is used for all frequencies.
Q-by-P-by-K array	Specifies the scattering matrix polarization component as a function of Q elevation angles, P azimuth angles, and K frequencies. If K = 1, the RCS pattern is equivalent to a Q-by-P matrix.
1-by-P-by-K array	Specifies the scattering matrix polarization component as a function of P azimuth angles and K frequencies. These dimension formats apply when there is only one elevation angle.
K-by-P matrix

• Q is the length of the vector specified by the ElevationAngles property.

• P is the length of the vector specified by the AzimuthAngles property.

• K is the number of frequencies specified by the FrequencyVector property.

You can specify polarization component patterns for L targets by putting L patterns into a cell array. All patterns must have the same dimensions. The value of L must match the column dimensions of the signals passed as input into the function. You can, however, use one pattern to model L targets.

SCM units are in square-meters.

Example: [1,1;1i,1i]

Dependencies

To enable this property, set the EnablePolarization property to true.

Data Types: double
Complex Number Support: Yes

SvvPattern — Radar scattering matrix VV polarization component

ones(181,361) (default) | Q-by-P complex-valued matrix | Q-by-P-by-K complex-valued array | 1-by-P-by-K complex-valued array | K-by-P complex-valued matrix

Radar scattering matrix VV-pol component, specified as a complex-valued vector, matrix, or array. Different dimension cases have different applications.

Dimensions	Application
Q-by-P matrix	Specifies the scattering matrix polarization component as a function of Q elevation angles and P azimuth angles. The same SCM matrix is used for all frequencies.
Q-by-P-by-K array	Specifies the scattering matrix polarization component as a function of Q elevation angles, P azimuth angles, and K frequencies. If K = 1, the RCS pattern is equivalent to a Q-by-P matrix.
1-by-P-by-K array	Specifies the scattering matrix polarization component as a function of P azimuth angles and K frequencies. These dimension formats apply when there is only one elevation angle.
K-by-P matrix

• Q is the length of the vector specified by the ElevationAngles property.

• P is the length of the vector specified by the AzimuthAngles property.

• K is the number of frequencies specified by the FrequencyVector property.

You can specify polarization component patterns for L targets by putting L patterns into a cell array. All patterns must have the same dimensions. The value of L must match the column dimensions of the signals passed as input into the function. You can, however, use one pattern to model L targets.

SCM units are in square-meters.

Example: [1,1;1i,1i]

Dependencies

To enable this property, set the EnablePolarization property to true.

Data Types: double
Complex Number Support: Yes

ShvPattern — Radar scattering matrix HV polarization component

ones(181,361) (default) | Q-by-P complex-valued matrix | Q-by-P-by-K complex-valued array | 1-by-P-by-K complex-valued vector | K-by-P complex-valued matrix

Radar scattering matrix (SCM) HV-pol component, specified as a complex-valued vector, matrix, or array. Different dimension cases have different applications.

Dimensions	Application
Q-by-P matrix	Specifies the scattering matrix polarization component as a function of Q elevation angles and P azimuth angles. The same SCM matrix is used for all frequencies.
Q-by-P-by-K array	Specifies the scattering matrix polarization component as a function of Q elevation angles, P azimuth angles, and K frequencies. If K = 1, the RCS pattern is equivalent to a Q-by-P matrix.
1-by-P-by-K array	Specifies the scattering matrix polarization component as a function of P azimuth angles and K frequencies. These dimension formats apply when there is only one elevation angle.
K-by-P matrix

• Q is the length of the vector specified by the ElevationAngles property.

• P is the length of the vector specified by the AzimuthAngles property.

• K is the number of frequencies specified by the FrequencyVector property.

You can specify polarization component patterns for L targets by putting L patterns into a cell array. All patterns must have the same dimensions. The value of L must match the column dimensions of the signals passed as input into the function. You can, however, use one pattern to model L targets.

SCM units are in square-meters.

Example: [1,1;1i,1i]

Dependencies

To enable this property, set the EnablePolarization property to true.

Data Types: double
Complex Number Support: Yes

Model — Target fluctuation model

'Nonfluctuating' (default) | 'Swerling1' | 'Swerling2' | 'Swerling3' | 'Swerling4'

Target fluctuation model, specified as 'Nonfluctuating', 'Swerling1', 'Swerling2', 'Swerling3', or 'Swerling4'. If you set this property to a value other than 'Nonfluctuating', use the update input argument when calling the function.

Example: 'Swerling3'

Data Types: char

PropagationSpeed — Signal propagation speed

physconst('LightSpeed') (default) | positive scalar

Signal propagation speed, specified as a positive scalar. Units are in meters per second. The default propagation speed is the value returned by physconst('LightSpeed'). See physconst for more information.

Example: 3e8

Data Types: double

OperatingFrequency — Operating frequency

300e6 (default) | positive scalar

Operating frequency, specified as a positive scalar. Units are in Hz.

Example: 1e9

Data Types: double

SampleRate — Signal sample rate

1e6 (default) | positive real-valued scalar

Signal sample rate, specified as a positive real-valued scalar. Units are in hertz.

Example: 1e6

Data Types: double

NumSubbands — Number of processing subbands

64 (default) | positive integer

Number of processing subbands, specified as a positive integer.

Example: 128

Data Types: double

SeedSource — Seed source of random number generator for RCS fluctuation model

'Auto' (default) | 'Property'

Seed source of random number generator for RCS fluctuation model, specified as 'Auto' or 'Property'. When you set this property to:

• 'Auto', the object generates random numbers using the default MATLAB^® random number generator.

• 'Property', you specify the random number generator seed using the Seed property.

When using this object with Parallel Computing Toolbox™ software, set this property to 'Auto'.

Dependencies

To enable this property, set the Model property to 'Swerling1', 'Swerling2', 'Swerling3', or 'Swerling4'.

Data Types: string

Seed — Random number generator seed

0 (default) | nonnegative integer less than 2³²

Random number generator seed, specified as a nonnegative integer less than 2³².

Example: 32301

Dependencies

To enable this property, set the SeedSource property to 'Property'.

Data Types: double

Usage

Syntax

refl_sig = target(sig,ang)

refl_sig = target(sig,ang,update)

refl_sig = target(sig,ang,laxes)

refl_sig = target(sig,ang,laxes,update)

Description

refl_sig = target(sig,ang) returns the reflected signal, refl_sig, of an incident nonpolarized signal, sig. This syntax applies when you set the EnablePolarization property to false and the Model property to 'Nonfluctuating'. In this case, the values specified in the RCSPattern property are used to compute the RCS values for the incident and reflected directions, ang.

refl_sig = target(sig,ang,update) uses update to control whether to update the RCS values. This syntax applies when you set the EnablePolarization property to false and the Model property to one of the fluctuating RCS models: 'Swerling1', 'Swerling2', 'Swerling3', or 'Swerling4'. If update is true, a new RCS value is generated. If update is false, the previous RCS value is used.

refl_sig = target(sig,ang,laxes) returns the reflected signal, refl_sig, of an incident polarized signal, sig. This syntax applies when you set EnablePolarization to true and the Model property to 'Nonfluctuating'. The values specified in the ShhPattern, SvvPattern, and ShvPattern properties are used to compute the backscattering matrices for the incident directions, ang. The laxes argument specifies a local coordinate system used to define the horizontal and vertical polarization components.

refl_sig = target(sig,ang,laxes,update) uses the update argument to control whether to update the scattering matrix values. This syntax applies when you set the EnablePolarization property to true and the Model property to one of the fluctuating RCS models: 'Swerling1', 'Swerling2', 'Swerling3', or 'Swerling4'. If update is true, a new RCS value is generated. If update is false, the previous RCS value is used.

Input Arguments

sig — Wideband signal

N-by-M complex-valued matrix | 1-by-M struct array containing complex-valued fields

• Wideband nonpolarized signal, specified as an N-by-M complex-valued matrix. The quantity N is the number of signal samples and M is the number of independent signals reflecting off the target. Each column contains an independent signal reflected from the target.

  The size of the first dimension of the input matrix can vary to simulate a changing signal length. A size change can occur, for example, in the case of a pulse waveform with variable pulse repetition frequency.

• Wideband polarized signal, specified as a 1-by-M struct array containing complex-valued fields. Each struct element contains three N-by-1 column vectors of electromagnetic field components (sig.X,sig.Y,sig.Z) representing the polarized signal that reflects from the target. Each struct element contains three N-by-1 complex-valued column vectors, sig.X, sig.Y, and sig.Z. These vectors represent the x, y, and z Cartesian components of the polarized signal.

  The size of the first dimension of the matrix fields within the struct can vary to simulate a changing signal length such as a pulse waveform with variable pulse repetition frequency.

Example: [1,1;j,1;0.5,0]

Data Types: double
Complex Number Support: Yes

ang — Incident signal direction

2-by-1 real-valued column vector | 2-by-M real-valued matrix

Incident signal direction, specified as a real-valued column 2-by-1 vector or 2-by-M matrix. Each column of ang specifies the incident direction of the corresponding signal in the form [AzimuthAngle;ElevationAngle]. The number of columns in ang must match the number of independent signals in sig. Units are in degrees.

Example: [30;45]

Data Types: double

update — Update RCS

false (default) | true

Option to enable the RCS values for fluctuation models to update, specified as false or true. When update is true, a new RCS value is generated with each call to the function. If update is false, the RCS remains unchanged with each call to the function.

Data Types: logical

laxes — Local coordinate matrix

eye(3,3) (default) | 3-by-3 real-valued orthonormal matrix | 3-by-3-by-M real-valued array

Local coordinate system matrix, specified as a 3-by-3 real-valued orthonormal matrix or a 3-by-3-by-M real-valued array. The matrix columns specify the local coordinate system orthonormal x-axis, y-axis, and z-axis, respectively. Each axis is a vector of the form (x;y;z) with respect to the global coordinate system. When sig has only one signal, laxes is a 3-by-3 matrix. When sig has multiple signals, you can use a single 3-by-3 matrix for multiple signals in sig. In this case, all targets have the same local coordinate systems. When you specify laxes as a 3-by-3-by-M array, each page (third index) defines a 3-by-3 local coordinate matrix for the corresponding target.

Example: [1,0,0;0,0.7071,-0.7071;0,0.7071,0.7071]

Data Types: double

Output Arguments

refl_sig — Wideband reflected signal

N-by-M complex-valued matrix | 1-by-M struct array containing complex-valued fields

• Wideband nonpolarized signal, returned as an N-by-M complex-valued matrix. Each column contains an independent signal reflected from the target.

• Wideband polarized signal, returned as a 1-by-M struct array containing complex-valued fields. Each struct element contains three N-by-1 column vectors of electromagnetic field components (sig.X,sig.Y,sig.Z) representing the polarized signal that reflects from the target.

The quantity N is the number of signal samples and M is the number of signals reflecting off the target. Each column corresponds to a reflecting angle.

For polarized fields, the struct element contains three N-by-1 complex-valued column vectors: sig.X, sig.Y, and sig.Z. These vectors represent the x, y, and z Cartesian components of the polarized signal.

The output refl_sig contains signal samples arriving at the signal destination within the current input time frame. When the propagation time from source to destination exceeds the current time frame duration, the output does not contain all contributions from the input of the current time frame. The remaining output appears in the next call to the function.

Object Functions

To use an object function, specify the System object as the first input argument. For example, to release system resources of a System object named obj, use this syntax:

release(obj)

Common to All System Objects

step	Run System object algorithm
release	Release resources and allow changes to System object property values and input characteristics
reset	Reset internal states of System object

Examples

Backscatter Nonpolarized Wideband Signal

Calculate the reflected radar signal from a nonfluctuating point target having a peak RCS of 10.0 m^2. Use a simple target RCS pattern for illustrative purposes. Real RCS patterns are more complicated. The RCS pattern covers a range of angles from $10-30$ degrees in azimuth and $5-15$ degrees in elevation. The RCS peaks at 20 degrees azimuth and 10 degrees elevation. The RCS also has a frequency dependence and is specified at 5 frequencies within the signal bandwidth. Assume that the radar operating frequency is 100 MHz and that the signal is a linear FM waveform having a 20 MHz bandwidth.

Create and plot the wideband signal.

c = physconst('LightSpeed');
fs = 50e6;
pw = 20e-6;
PRF = 1/(2*pw);
fc = 100e6;
bw = 20e6;
waveform = phased.LinearFMWaveform('SampleRate',fs,'PulseWidth',pw, ...
    'PRF',PRF,'OutputFormat','Pulses','NumPulses',1,'SweepBandwidth',bw, ...
    'SweepDirection','Down','Envelope','Rectangular','SweepInterval', ...
    'Symmetric');
wav = waveform();
n = size(wav,1);
plot([0:(n-1)]/fs*1e6,real(wav),'b')
xlabel('Time (\mu s)')
ylabel('Waveform Magnitude')
grid

Create an RCS pattern at five different frequencies within the signal bandwidth using a simplified frequency dependence. The frequency dependence is unity at the operating frequency and falls off outside that frequency. Realistic frequency dependencies are more complicated. Plot the RCS pattern for one of the frequencies.

fvec = fc + [-fs/2,-fs/4,0,fs/4,fs/2];
fdep = cos(3*(1 - fvec/fc));
azmax = 20.0;
elmax = 10.0;
azpattern = [10.0:0.5:30.0];
elpattern = [5.0:0.5:15.0];
rcspattern0 = 10.0*cosd(4*(elpattern - elmax))'*cosd(4*(azpattern - azmax));
for k = 1:5
    rcspattern(:,:,k) = rcspattern0*fdep(k);
end
imagesc(azpattern,elpattern,abs(rcspattern(:,:,1)))
axis image
axis tight
title('RCS')
xlabel('Azimuth (deg)')
ylabel('Elevation (deg)')

Create the phased.WidebandBackscatterRadarTarget System object™.

target = phased.WidebandBackscatterRadarTarget('Model','Nonfluctuating', ...
    'AzimuthAngles',azpattern,'ElevationAngles',elpattern,...
    'RCSPattern',rcspattern,'OperatingFrequency',fc,'NumSubbands',32, ...
    'FrequencyVector',fvec);

For a sequence of incident azimuth angles at constant elevation, find and plot the reflected signal amplitude.

az0 = 13.0;
el = 10.0;
az = az0 + [0:2:20];
naz = length(az);
magsig = zeros(1,naz);
for k = 1:naz
    y = target(wav,[az(k);el]);
    magsig(k) = max(abs(y));
end
plot(az,magsig,'r.')
xlabel('Azimuth (deg)')
ylabel('Scattered Signal Amplitude')
grid

Backscatter Nonpolarized Wideband Signal from Fluctuating Target

Calculate the reflected radar signal from a Swerling 4 fluctuating point target with a peak RCS of 0.1 m^2. Use a simple target RCS pattern for illustrative purposes. Real RCS patterns are more complicated. The RCS pattern covers a range of angles from 10 $-$ 30 degrees in azimuth and 5 $-$15 degrees in elevation. The RCS peaks at 20 degrees in azimuth and 10 degrees in elevation at a value of 0.1 m^2. The RCS also has a frequency dependence and is specified at five frequencies within the signal bandwidth. Assume that the radar operating frequency is 100 MHz and that the signal is a linear FM waveform with a 20 MHz bandwidth. The sampling frequency is 50 MHz.

Create and plot the wideband signal.

c = physconst('LightSpeed');
fs = 50e6;
pw = 20e-6;
PRF = 1/(2*pw);
fc = 100.0e6;
bw = 20.0e6;
waveform = phased.LinearFMWaveform('SampleRate',fs,'PulseWidth',pw, ...
    'PRF',PRF,'OutputFormat','Pulses','NumPulses',1,'SweepBandwidth',bw, ...
    'SweepDirection','Down','Envelope','Rectangular','SweepInterval', ...
    'Symmetric');
wav = waveform();

Create an RCS pattern at five different frequencies within the signal bandwidth using a simple frequency dependence. The frequency dependence is designed to be unity at the operating frequency and fall off outside that band. Realistic frequency dependencies are more complicated.

fvec = fc + [-fs/2,-fs/4,0,fs/4,fs/2];
fdep = cos(3*(1 - fvec/fc));
azmax = 20.0;
elmax = 10.0;
azangs = [10.0:0.5:30.0];
elangs = [5.0:0.5:15.0];
rcspattern0 = 0.1*(cosd((elangs - elmax))'*cosd((azangs - azmax))).^2;
for k = 1:5
    rcspattern(:,:,k) = rcspattern0*fdep(k);
end
imagesc(azangs,elangs,abs(rcspattern(:,:,5)))
axis image
axis xy
axis tight
title('RCS')
xlabel('Azimuth (deg)')
ylabel('Elevation (deg)')
colorbar

Create the phased.WidebandBackscatterRadarTarget System object™.

target = phased.WidebandBackscatterRadarTarget('Model','Swerling4', ...
    'SeedSource','Property','Seed',100213,'AzimuthAngles',azangs, ...
    'ElevationAngles',elangs,'RCSPattern',rcspattern, ...
    'OperatingFrequency',fc,'NumSubbands',32,'FrequencyVector',fvec);

Find and plot 100 samples of the incident signal and two sequential reflected signals at 10 degrees in azimuth and 10 degrees in elevation. Update the RCS at each execution of the System object™.

az = 10.0;
el = 10.0;
refl_wav1 = target(wav,[az;el],true);
refl_wav2 = target(wav,[az;el],true);
n = 100;
plot([0:(n-1)]/fs*1e6,real(wav(1:n)))
hold on
plot([0:(n-1)]/fs*1e6,real(refl_wav1(1:n)),'.')
plot([0:(n-1)]/fs*1e6,real(refl_wav2(1:n)),'.')
hold off
legend('Incident Signal','First Backscattered Signal','Second Backscattered Signal')
xlabel('Time (\mu s)')
ylabel('Waveform Magnitude')
title('Swerling 4 RCS')

More About

Backscattered Wideband Signals

Wideband signals are decomposed into narrowband signals which are reflected from the target independently.

For a narrowband nonpolarized signal, the reflected signal, Y, is

$$Y=\sqrt{G}\cdot X,$$

where:

• X is the incoming signal.

• G is the target gain factor, a dimensionless quantity given by

  $$G=\frac{4\pi \sigma }{{\lambda }^2}.$$

  • σ is the mean radar cross-section (RCS) of the target.

  • λ is the wavelength of the incoming signal.

The incident signal on the target is scaled by the square root of the gain factor.

For narrowband polarized waves, the single scalar signal, X, is replaced by a vector signal, (E_H, E_V), with horizontal and vertical components. The scattering matrix, S, replaces the scalar cross-section, σ. Through the scattering matrix, the incident horizontal and vertical polarized signals are converted into the reflected horizontal and vertical polarized signals.

$$\left[\begin{array}{c}{E}_H^{(scat)}\\ E_V^{(scat)}\end{array}\right]=\sqrt{\frac{4\pi }{{\lambda }^2}}\left[\begin{array}{cc}{S}_{HH}& S_{HV}\\ S_{VH}& S_{VV}\end{array}\right]\left[\begin{array}{c}{E}_H^{(inc)}\\ E_V^{(inc)}\end{array}\right]=\sqrt{\frac{4\pi }{{\lambda }^2}}\left[S\right]\left[\begin{array}{c}{E}_H^{(inc)}\\ E_V^{(inc)}\end{array}\right]$$

For further details, see [1] or [2].

Subband Frequency Processing

Subband processing decomposes a wideband signal into multiple subbands and applies narrowband processing to the signal in each subband. The signals for all subbands are summed to form the output signal.

When using wideband frequency System objects or blocks, you specify the number of subbands, N_B, in which to decompose the wideband signal. Subband center frequencies and widths are automatically computed from the total bandwidth and number of subbands. The total frequency band is centered on the carrier or operating frequency, f_c. The overall bandwidth is given by the sample rate, f_s. Frequency subband widths are Δf = f _s/N_B. The center frequencies of the subbands are

$$f_m=\{\begin{array}{c}{f}_c-\frac{f_s}{2}+\left(m-1\right)\Delta f\text{, }{N}_B\text{ even}\\ f_c-\frac{\left(N_B-1\right)f_s}{2N_B}+\left(m-1\right)\Delta f\text{, }{N}_B\text{ odd}\end{array},m=1,\dots ,N_B$$

Some System objects let you obtain the subband center frequencies as output when you run the object. The returned subband frequencies are ordered consistently with the ordering of the discrete Fourier transform. Frequencies above the carrier appear first, followed by frequencies below the carrier.

References

[1] Mott, H. Antennas for Radar and Communications. New York: John Wiley & Sons, 1992.

[2] Richards, M. A. Fundamentals of Radar Signal Processing. New York: McGraw-Hill, 2005.

[3] Skolnik, M. Introduction to Radar Systems, 3rd Ed. New York: McGraw-Hill, 2001.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

See System Objects in MATLAB Code Generation (MATLAB Coder).

Version History

Introduced in R2016b