GMSK Modulation and Demodulation

GMSK modulation and demodulation represent a widely-used communication technique, particularly prevalent in wireless communication systems. This method involves converting digital signals into analog waveforms for transmission, followed by demodulation to recover the original digital signals at the receiving end. MATLAB (often referred to as M language) serves as a powerful programming environment suitable for implementing various signal processing algorithms and communication system prototypes. In implementing GMSK modulation, key programming components typically include: - Gaussian filter implementation using functions like gaussdesign() or custom FIR filters - Frequency modulation through phase accumulation techniques - Bit-to-symbol mapping with differential encoding For demodulation, essential algorithmic elements involve: - Coherent or non-coherent detection schemes - Viterbi algorithm implementation for maximum likelihood sequence estimation - Timing recovery and synchronization routines The MATLAB implementation typically utilizes Communication Toolbox functions such as comm.GMSKModulator and comm.GMSKDemodulator, while custom implementations may involve signal processing operations using filter(), angle(), and diff() functions for phase difference calculation.