GMSK Modulation and Demodulation in MATLAB

GMSK modulation and demodulation can be graphically represented using MATLAB, a powerful mathematical software widely used for signal processing and communication system design. Through MATLAB implementation, you can visualize modulation and demodulation processes to better understand GMSK principles and performance characteristics. Key implementation aspects include using MATLAB's built-in functions and toolboxes to generate modulation signals, demodulate received signals, and plot various signal representations. You can utilize functions like `comm.GMSKModulator` and `comm.GMSKDemodulator` from the Communications Toolbox to create baseband modulation schemes. For graphical analysis, employ plotting functions such as `plot()` for time-domain waveforms, `fft()` and `pwelch()` for spectral analysis, and `scatterplot()` for constellation diagrams. The graphical outputs help intuitively observe and analyze GMSK modulation/demodulation effects, enabling parameter optimization and performance evaluation. Typical visualizations include waveform plots showing Gaussian-filtered frequency pulses, eye diagrams for assessing intersymbol interference, and spectrum analyzers demonstrating GMSK's superior spectral efficiency compared to other modulation schemes. Algorithm implementation typically involves configuring key parameters like modulation index, Gaussian filter bandwidth-time product (BT), and sampling rates. The demodulation process may incorporate coherent detection using Viterbi algorithm or non-coherent detection methods, with BER performance analyzable through Monte Carlo simulations.