MATLAB Simulation Program for Ultra-Wideband System Link

This MATLAB simulation program for ultra-wideband system links provides a simplified simulation platform with a basic graphical user interface. The system architecture incorporates modular components including configurable pulse shaping (half-cosine pulse implementation), modified IEEE 802.15.3a SV channel modeling, maximum likelihood channel estimation algorithms, and Rake receiver structures, enabling Monte Carlo simulations for bit error rate performance analysis. The platform supports future integration of multiple access techniques and channel coding functionalities (Viterbi encoding/decoding and frame synchronization modules were developed separately by colleagues). Key implementation components include: Main entry program (uwbsim.m), Encoding/decoding utilities (bin2deci.m for binary-to-decimal conversion, bini2deci.m for alternative conversion, deci2bin.m for decimal-to-binary conversion, VITRBI.m for Viterbi algorithm implementation), Channel modeling and estimation modules (ch_est.m for channel estimation, channel.m for channel configuration, channelgenerator.m for channel realization generation, conv_m.m for convolution operations, sigfold.m for signal folding, UWB_SV_channel.m for UWB channel modeling, uwb_sv_cnvrt_ct.m for continuous-time conversion, uwb_sv_eval_ct.m for channel evaluation, uwb_sv_model_ct.m for continuous-time modeling, uwb_sv_params.m for parameter configuration), Rake receiver implementation (findpeak.m for path detection, MRC_combine.m for maximal ratio combining, MRC_Rake.m for Rake receiver core, n_upsample.m for upsampling operations, selectpath.m for path selection), and Additional supporting functions (cnv_encd.m for convolutional encoding, dssignal.m for direct sequence signals, Eb_halfcos.m for energy calculation, waveshape.m for waveform shaping, halfcos_generator.m for pulse generation, metric.m for metric computation, nxt_stat.m for state transition, sim_main.m for simulation control, spreadgren.m for spreading sequences, test_code.m for module testing, training_ds.m for training signals, vit_test.m for Viterbi testing). Future enhancements could incorporate interactive GUI features for more intuitive operation, such as real-time simulation monitoring and visualization of performance results through graphical output displays.