Spectrum Detection Algorithms for Ultra-Wideband Systems

Ultra-wideband (UWB) technology enables high-speed and high-quality transmission in short-distance communications, leading to increasingly widespread applications. In this context, spectrum detection algorithms serve as crucial components for implementing effective UWB communication systems. This article presents a MATLAB-implemented spectrum detection algorithm that facilitates efficient UWB communication with significant practical utility. The implementation includes key functions for signal processing, threshold calculation, and detection probability estimation using MATLAB's Signal Processing Toolbox. Detailed performance analysis and discussion are provided to enhance understanding of the algorithm's operational principles, computational efficiency, trade-offs, and practical limitations. The code structure incorporates energy detection techniques with adaptive threshold mechanisms, demonstrating how to handle UWB signal characteristics through proper sampling rate configuration and power spectral density calculations.