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phased.SumDifferenceMonopulseTracker2D System object

Sum and difference monopulse for URA

Description

The SumDifferenceMonopulseTracker2D object implements a sum and difference monopulse algorithm for a uniform rectangular array.

To estimate the direction of arrival (DOA):

  1. Define and set up your sum and difference monopulse DOA estimator. See Construction.

  2. Call step to estimate the DOA according to the properties of phased.SumDifferenceMonopulseTracker2D. 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.

Construction

H = phased.SumDifferenceMonopulseTracker2D creates a tracker System object, H. The object uses sum and difference monopulse algorithms on a uniform rectangular array (URA).

H = phased.SumDifferenceMonopulseTracker2D(Name,Value) creates a URA monopulse tracker object, 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).

Properties

SensorArray

Handle to sensor array

Specify the sensor array as a handle. The sensor array must be a phased.URA object.

Default: phased.URA with default property values

PropagationSpeed

Signal propagation speed

Specify the propagation speed of the signal, in meters per second, as a positive scalar. You can specify this property as single or double precision.

Default: Speed of light

OperatingFrequency

System operating frequency

Specify the operating frequency of the system in hertz as a positive scalar. The default value corresponds to 300 MHz. You can specify this property as single or double precision.

Default: 3e8

NumPhaseShifterBits

Number of phase shifter quantization bits

The number of bits used to quantize the phase shift component of beamformer or steering vector weights. Specify the number of bits as a non-negative integer. A value of zero indicates that no quantization is performed. You can specify this property as single or double precision.

Default: 0

Methods

stepPerform monopulse tracking using URA
Common to All System Objects
release

Allow System object property value changes

Examples

expand all

Using a URA, determine the direction of a target at approximately 60° azimuth and 20° elevation.

array = phased.URA('Size',4);
steeringvec = phased.SteeringVector('SensorArray',array);
tracker = phased.SumDifferenceMonopulseTracker2D('SensorArray',array);
x = steeringvec(tracker.OperatingFrequency,[60.1; 19.5]).';
est_dir = tracker(x,[60; 20])
est_dir = 2×1

   60.1000
   19.5000

Algorithms

expand all

References

[1] Seliktar, Y. Space-Time Adaptive Monopulse Processing. Ph.D. Thesis. Georgia Institute of Technology, Atlanta, 1998.

[2] Rhodes, D. Introduction to Monopulse. Dedham, MA: Artech House, 1980.

Extended Capabilities

Introduced in R2012a