Explore MATLAB source code curated for "通信原理实验" with clean implementations, documentation, and examples.
Implementation of eye diagram generation using MATLAB for communication principles experiments, enabling performance analysis of communication systems with code-based signal processing techniques
This graduation project employs MATLAB's Simulink modeling and simulation tool to simulate communication principles experiments. As the first part of a series, it includes simulations of analog signal linear modulation/demodulation (AM, DSB, SSB) processes, scrambling and descrambling experiments, and low-pass signal sampling theorem verification. The paper covers MATLAB fundamentals, Simulink operation methods, and their applications in communication systems, with brief introductions to the underlying principles of each simulated experiment. Key implementation approaches involve using Simulink blocks for signal processing, modulation/demodulation algorithms, and sampling rate configuration. This project provides preliminary exploration for constructing a virtual laboratory for communication principles.
Communication Principles Experiment focusing on MATLAB simulation of digital baseband transmission systems, including signal generation, Gaussian white noise generation, R-filter and T-filter implementation, and complete communication system workflow with code-level implementation details.
Software simulation experiments for communication principles, featuring waveform and power spectral analysis of Unipolar Return-to-Zero (RZ) and Non-Return-to-Zero (NRZ) codes, a complete digital baseband system simulation with implementation algorithms, and a comprehensive analytical report with code methodology explanations.
To enhance communication system design, we need to investigate statistical properties of received signals in wireless environments. Consider a scenario with numerous obstacles, no line-of-sight path between transmitter and receiver, large separation distance (>500m), and many randomly distributed obstacles (N>50). Assuming reflected signals reach the receiver with equal strength (E=1) and carrier frequency of 1GHz, this simulation explores: (1) Phase distribution of received sine waves; (2) Mean/variance calculation and PDF plotting of signal amplitude; (3) Rayleigh distribution analysis with parameter √(N·E), including theoretical expectation and variance verification.