- awgn(RX,SNR,'measured') adds noise to each sample of RX. If RX is a real vector, only the real component has noise added to it. If RX is a complex vector, noise with complex representation ‘a + ib’ is added to each element of RX. The values of ‘a’ and ‘b’ are generated using a gaussian distribution, where the magnitudes are dependent on the SNR value provided. The 'measured' option takes the current received signal power in consideration to generate the noise samples.
- As mentioned, this is valid only if the input RX samples are real. If it is complex IQ samples, then this may not be a valid assumption.
How awgn add white noise on complex envolope signal
- how "RX_noise=awgn(RX,SNR,'measured') " add noise to the RX?
- does real(Rx_noise) = rx_noise?