UWB Viterbi Decoding MATLAB Implementation

This document presents a comprehensive MATLAB implementation of UWB Viterbi decoding. The codebase contains two distinct approaches: a custom-developed Viterbi decoder written from scratch in MATLAB and implementations utilizing MATLAB's built-in communication toolbox functions. The implementation covers both hard decision decoding, where binary decisions are made on received symbols, and soft decision decoding, which uses reliability information to improve decoding performance through log-likelihood ratio (LLR) calculations. The development strictly adheres to the MB-OFDM UWB protocol specifications, ensuring compliance with standard-defined parameters including constraint length, generator polynomials, and traceback depth. Key algorithmic components implemented include branch metric calculation, path metric accumulation, and survivor path management using the classic Viterbi algorithm with register-based state tracking. Code enhancement features include modular structure separation between encoding and decoding processes, configurable parameters for different UWB modes, and performance comparison utilities between custom and built-in implementations. The implementation demonstrates proper handling of convolutional coding with code rate adjustments and includes BER performance evaluation modules for both decoding schemes.