Explore MATLAB source code curated for "移动通信系统" with clean implementations, documentation, and examples.
This simulation program models Rayleigh fading channels under varying frequencies and sampling rates, providing essential tools for developing mobile communication systems with implementation insights on parameter configuration and channel modeling.
Design and MATLAB implementation of a comprehensive mobile communication system physical layer transmission scheme for WiMAX applications, meeting the following specifications: 1. Data rate: 60 Mbps at 5 km/hr mobility and 10 Mbps at 120 km/hr mobility, with bit error rate Pe ≤ 10^-4 when Eb/No < 20 dB. 2. 20 MHz signal bandwidth operating in 2 GHz frequency band. 3. Channel model: 6-path Rayleigh channel based on COST207 model (refer to multipath_code.zip). Required deliverables include system architecture and performance analysis.
Mobile communication systems primarily experience two types of fading: large-scale fading and small-scale fading. Large-scale fading represents the reduction in average signal energy or path loss due to movement over large distances. Small-scale fading manifests through two mechanisms: signal delay spread and time-varying channel characteristics. For wireless applications, time-varying channel properties result from changes in transmission paths due to relative movement between transmitters and receivers. The rate of these propagation condition changes affects the fading rate. When numerous reflective paths exist without a line-of-sight component, this small-scale fading is termed Rayleigh fading, where the received signal envelope follows Rayleigh probability distribution statistics. This experiment will focus on analyzing this specific fading phenomenon with signal processing implementations.
This MATLAB program simulates and visualizes the distributions of co-channel interference in both forward and reverse links within a cellular mobile system featuring cluster size N. The simulation models random mobile subscriber (MS) positions across a cell to analyze interference patterns and their impact on system performance. The implementation includes statistical analysis of signal-to-interference ratios and uses Monte Carlo methods for position randomization.