phased.HeterogeneousURA
Heterogeneous uniform rectangular array
Description
The HeterogeneousURA
object constructs a heterogeneous
uniform rectangular array (URA).
To compute the response for each element in the array for specified directions:
Define and set up your uniform rectangular array. See Construction.
Call
step
to compute the response according to the properties ofphased.HeterogeneousURA
. The behavior ofstep
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.
Construction
H = phased.HeterogeneousURA
creates a heterogeneous
uniform rectangular array (URA) System object, H
.
This object models a heterogeneous URA formed with sensor elements
whose pattern may vary from element to element. Array elements are
distributed in the yzplane
in a rectangular lattice. An MbyN heterogeneous
URA has M rows and N columns.
The array boresight direction is along the positive xaxis.
The default array is a 2by2 URA of isotropic antenna elements.
H = phased.HeterogeneousURA(
creates
the object, Name
,Value
)H
, with each specified property Name
set to the specified Value. You can specify additional namevalue
pair arguments in any order as (Name1
,Value1
,...,NameN
,ValueN
).
Properties

Set of elements used in the array Specify the set of different elements used in the sensor array
as a row MATLAB cell array. Each member of the cell array contains
an element object in the phased package. Elements specified in the Default: One cell containing one isotropic antenna element  

Elements location assignment This property specifies the mapping of elements in the array.
The property assigns elements to their locations in the array using
the indices into the Default:  

Element spacing A 1by2 vector or a scalar containing the element spacing (in
meters) of the array. If Default:  

Element lattice Specify the element lattice as one of Default:  

Array normal direction Array normal direction, specified as one of URA elements lie in a plane orthogonal to the selected array normal direction. Element boresight directions point along the array normal direction
Default:  

Element tapers Element tapers, specified as a complexvalued scalar, or a complexvalued
1byMN row vector, MNby1
column vector, or MbyN matrix.
Tapers are applied to each element in the sensor array. Tapers are
often referred to as element weights. M is
the number of elements along the zaxis, and N is
the number of elements along yaxis. M and N correspond
to the values of Default: 1 
Methods
Specific to
phased.HeterogeneousURA Object  

beamwidth  Compute and display beamwidth of an array 
collectPlaneWave  Simulate received plane waves 
directivity  Directivity of heterogeneous uniform rectangular array 
getElementNormal  Normal vector to array elements 
getElementPosition  Positions of array elements 
getNumElements  Number of elements in array 
getTaper  Array element tapers 
isPolarizationCapable  Polarization capability 
pattern  Plot heterogeneous URA directivity and power pattern 
patternAzimuth  Plot heterogeneous URA directivity or pattern versus azimuth 
patternElevation  Plot heterogeneous URA array directivity or pattern versus elevation 
perturbations  Perturbations defined on phased array 
perturbedArray  Apply perturbations to phased array 
perturbedPattern  Compute and plot azimuth pattern of perturbed array 
step  Output responses of array elements 
viewArray  View array geometry 
Common to All System Objects  

release  Allow System object property value changes 
Examples
More About
References
[1] Brookner, E., ed. Radar Technology. Lexington, MA: LexBook, 1996.
[2] Brookner, E., ed. Practical Phased Array Antenna Systems. Boston: Artech House, 1991.
[3] Mailloux, R. J. “Phased Array Theory and Technology,” Proceedings of the IEEE, Vol., 70, Number 3, 1982, pp. 246–291.
[4] Mott, H. Antennas for Radar and Communications, A Polarimetric Approach. New York: John Wiley & Sons, 1992.
[5] Van Trees, H. Optimum Array Processing. New York: WileyInterscience, 2002.