BER vs. SNR denotes how many bits in error are received in a communication process for a particular Signal-to-noise (SNR) ratio. In most cases, SNR is measured in decibel (dB). For a typical communication system, a signal is often affected by two types of noises
1. Additive White Gaussian Noise (AWGN)
In the case of additive white Gaussian noise (AWGN), random magnitude is added to the transmitted signal. On the other hand, Rayleigh fading (due to multipath) attenuates the different frequency components of a signal differently. A good signal-to-noise ratio tries to mitigate the effect of noise.
Simulator for calculating BER vs SNR for binary ASK, FSK, and PSK
Calculate BER for Binary ASK Modulation
BER vs. SNR curves for ASK, FSK, and PSK
Calculate BER for Binary FSK Modulation
Calculate BER for Binary PSK Modulation
MATLAB Code for calculating theoretical BER vs SNR for ASK, FSK, and PSK