System object: phased.BeamscanEstimator2D
Perform spatial spectrum estimation
Y = step(H,X)
[Y,ANG] = step(H,X)
Y = step(H,X) estimates the spatial spectrum from X using the estimator H. X is a matrix whose columns correspond to channels. Y is a matrix representing the magnitude of the estimated 2-D spatial spectrum. Y has a row dimension equal to the number of elevation angles specified in ElevationScanAngles and a column dimension equal to the number of azimuth angles specified in AzimuthScanAngles.
[Y,ANG] = step(H,X) returns additional output ANG as the signal's direction of arrival (DOA) when the DOAOutputPort property is true. ANG is a two row matrix where the first row represents the estimated azimuth and the second row represents the estimated elevation (in degrees).
Note: The object performs an initialization the first time the step method is executed. This initialization locks nontunable properties and input specifications, such as dimensions, complexity, and data type of the input data. If you change a nontunable property or an input specification, the System object™ issues an error. To change nontunable properties or inputs, you must first call the release method to unlock the object.
Estimate the DOAs of two signals received by a 50-element URA with a rectangular lattice. The antenna operating frequency is 150 MHz. The actual direction of the first signal is –37 degrees in azimuth and 0 degrees in elevation. The direction of the second signal is 17 degrees in azimuth and 20 degrees in elevation.
ha = phased.URA('Size',[5 10],'ElementSpacing',[1 0.6]); ha.Element.FrequencyRange = [100e6 300e6]; fc = 150e6; lambda = physconst('LightSpeed')/fc; ang1 = [-37; 0]; ang2 = [17; 20]; x = sensorsig(getElementPosition(ha)/lambda,8000,[ang1 ang2],0.2); hdoa = phased.BeamscanEstimator2D('SensorArray',ha,... 'OperatingFrequency',fc,... 'DOAOutputPort',true,'NumSignals',2,... 'AzimuthScanAngles',-50:50,... 'ElevationScanAngles',-30:30); [~,doas] = step(hdoa,x);