How to apply AWGN noise to a symbol signal?
My OFDM implementation fills all the subcarriers and have t_symbol s duration and t_cp cyclic prefix duration. I’m trying this to validate my system implementation before go on with my system development. I’m using the following python code for apply noise: def awgn (self,data,noise_power): Es = sum (abs (data)**2.) Eb = Es/ (self.OFDM_SIZE*2.)
How to simulate OFDM performance in AWGN channel?
Simulate M-QPSK / M-QAM based cyclic prefixed OFDM over AWGN channel. ● Wireless Communication Systems in Matlab (second edition), ISBN: 979-8648350779 available in ebook (PDF) format and Paperback (hardcopy) format.
How to calculate the oversampling factor for AWGN?
It also returns the noise vector ‘n’ that is added to the signal ‘s’ and the power spectral density N0 of noise added Parameters: s : input/transmitted signal vector SNRdB : desired signal to noise ratio (expressed in dB) for the received signal L : oversampling factor (applicable for waveform simulation) default L = 1.
Why does OFDM not work in time dispersive channel?
In a time-dispersive channel, the orthogonality of the subcarriers cannot be maintained in a perfect state due to delay distortion. This problem is addressed by adding a cyclic extension (also called cyclic prefix) to the OFDM symbol (reference [1]).
How can I simulate an AWGN channel in dB?
The strength of the generated noise depends on the desired SNR level which usually is an input in such simulations. In practice, SNRs are specified in dB. Given a specific SNR point for simulation, let’s see how we can simulate an AWGN channel that adds correct level of white noise to the transmitted symbols.
How to simulate white Gaussian noise ( AWGN ) channel?
Given a specific SNR point to simulate, we wish to generate a white Gaussian noise vector of appropriate strength and add it to the incoming signal. The method described can be applied for both waveform simulations and the complex baseband simulations.