– Generate random bits using a Bernoulli Binary Generator.
– Map each pair of bits to a complex symbol using the QPSK Modulator Baseband block. Set average power to 1. Digital Communication Systems Using Matlab And Simulink
% Parameters M = 2; % BPSK modulation order numBits = 1e5; % Number of bits EbNo_dB = 0:2:10; % SNR range ber = zeros(size(EbNo_dB)); for idx = 1:length(EbNo_dB) % Generate random bits data = randi([0 1], numBits, 1); – Generate random bits using a Bernoulli Binary Generator
Introduction In the modern era of 5G, IoT, and satellite internet, digital communication systems form the invisible backbone of global connectivity. From streaming high-definition video to controlling a Mars rover, the reliability and efficiency of these systems depend on sophisticated design, rigorous simulation, and relentless optimization. % Parameters M = 2; % BPSK modulation
– Add AWGN with desired (E_b/N_0). If modeling multipath, insert a Multipath Rayleigh Fading block before AWGN.
% Compute BER [~, ber(idx)] = biterr(data, rxBits); end
– Insert a Raised Cosine Transmit Filter with 50% roll-off. Oversample by 8 to avoid aliasing.