Simulation of BOC Signals

In this article, we demonstrate how to generate simulated Binary Offset Carrier (BOC) signals using MATLAB. The implementation involves creating BOC modulation through mathematical operations such as multiplying a pseudo-random noise (PRN) code with a square wave subcarrier. The generated signal is then sampled at a configurable rate, and spectral analysis is performed using Fast Fourier Transform (FFT) algorithms. Key considerations include selecting appropriate sampling rates (typically 4-10 times the chip rate) and FFT sizes (power-of-2 values like 1024 or 2048 for computational efficiency) to achieve accurate frequency resolution. The spectral results reveal characteristic double-sideband features of BOC signals, which can be interpreted by analyzing main lobe separation and null points relative to the subcarrier frequency. The discussion extends to BOC applications in navigation (e.g., Galileo and GPS Modernization) and communication systems, highlighting their robustness against multipath interference and improved spectral efficiency compared to BPSK modulation. Through MATLAB code examples analyzing autocorrelation properties and power spectral density, we provide comprehensive insights into BOC signal characteristics, enabling deeper understanding of their implementation advantages in advanced wireless systems.