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Antenna Pointing Loss Blocks

version 1.0.0.1 (251 KB) by Mike Donovan
Embedded MATLAB function blocks that simulate pointing loss and signal obstruction for Gaussian ...

2.9K Downloads

Updated 01 Sep 2016

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Communication signals can be attenuated at the receive antenna if there is a misalignment between the transmit and receive antenna. This can be either a static misalignment or a time varying misalignment, like when an antenna is mounted on a tower that sways in the wind.
Communications signals can also be totally blocked by obstructions passing in front of an antenna. An example would be an antenna mounted in a buoy out at sea that occasionally has a wave wash over it.

Both these conditions cause a loss in overall communications performance. The models in this submission show how to simulate these effects of antenna misalignment and obstruction in a Simulink communications system simulation.

1- XModel6. This model is a comms simulation with perfect antenna pointing.

2- XModel6Gauss. This model shows how to simulate a static misalignment between a transmit and receive antenna. The antenna pattern used in this example is a Gaussian approximation.

3- XModel6Sinc. This model shows how to simulate a dynamic pointing loss. In this case the misalignment is simulated with a sinusoidal function. The antenna pattern used in this example is for a square feed horn, which has a sinc rolloff characteristic.

4- XModel6SincBlocked. This model shows how to simulate a receive antenna that is misaligned and periodically obstructed. The obstruction is modeled with a low duty cycle square wave. The antenna pattern used in this example is for a square feed horn, which has a sinc rolloff characteristic.

Cite As

Mike Donovan (2021). Antenna Pointing Loss Blocks (https://www.mathworks.com/matlabcentral/fileexchange/8885-antenna-pointing-loss-blocks), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14SP2
Compatible with any release
Platform Compatibility
Windows macOS Linux

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