Communications Toolbox™ enables you to model and visualize noisy SISO and MIMO channels having Rayleigh, Rician, or WINNER II fading profiles, and atmospheric impairments. Multiple Doppler spectrum shapes are available.
|Add white Gaussian noise to signal|
|Binary symmetric channel|
|Construct channel System object from set of standardized channel models|
|RF signal attenuation due to fog and clouds|
|Free space path loss|
|RF signal attenuation due to atmospheric gases|
|RF signal attenuation due to rainfall|
|Add white Gaussian noise to input signal|
|Filter input signal through a Rayleigh multipath fading channel|
|Filter input signal through a Rician fading channel|
|Filter input signal through MIMO multipath fading channel|
|Filter input signal through WINNER II fading channel|
|Add white Gaussian noise to input signal with GPU|
|Add thermal noise to signal|
Model channel and RF impairment characteristics
This example shows how to set the bit energy to noise density ratio (Eb/No) for communication links employing channel coding.
Two links perform error control coding on a signal that has passed through an impairment channel.
Defining a fading channel object and applying it to a signal
Pass FSK and QPSK signals through a Rayleigh multipath fading channel. Change the signal bandwidths to observe the impact of the fading channel on the FSK spectrum and the QPSK constellation.
Multipath MIMO fading channels allow for design of communication systems with multiple antenna elements at the transmitter and receiver
Modeling WINNER II channel using the WINNER II Channel Model for Communications Toolbox add-on