Explore MATLAB source code curated for "扩频通信" with clean implementations, documentation, and examples.
Analysis of bit error rate performance in spread spectrum communication systems following transform domain prediction techniques for mitigating strong narrowband interference
Implementation of spread spectrum communication including PN code synchronization, spread spectrum modulation and despreading with detailed algorithm explanations
Single-tone interference simulation in spread spectrum communication systems with adjustable frequency parameters to demonstrate varying simulation outcomes, including code implementation for frequency modulation and interference analysis algorithms
A MATLAB-based simulation study on Gold sequence properties in spread spectrum communication systems. Key implementations include: (1) Generating Gold sequence families using MATLAB programming with single-period outputs; (2) Producing all balanced sequences within Gold sequence families using balanced generation methods; (3) Calculating autocorrelation functions and plotting autocorrelation curves; (4) Computing cross-correlation functions and plotting cross-correlation curves between selected sequences.
Implementation of linear adaptive predictive filtering algorithm for narrowband interference suppression in spread spectrum communication systems, with practical code examples and algorithm analysis for researchers working on interference mitigation.
System simulation in MATLAB Communication Toolbox can be performed using two approaches: simulation with SIMULINK block diagrams and simulation using MATLAB functions. The SIMULINK-based method enables simulation of spread spectrum communication techniques including Direct Sequence (DS) and Frequency Hopping (FH), implemented through specialized communication blocks with configurable parameters.
MATLAB implementation of multi-user spread spectrum communication system with ready-to-run transmitter and receiver code requiring no modifications.
MATLAB Simulation Sequence for Direct Sequence Spread Spectrum (DSSS) Communication Systems
This MATLAB simulation of Direct Sequence Spread Spectrum (DSSS) systems enables readers to clearly understand spread spectrum communication concepts and waveform characteristics through practical code implementation.
Pseudo-random codes, also known as PN codes, are essential sequences in spread spectrum communication. Spread spectrum communication fundamentally operates by modulating original signals with highly correlated pseudo-random sequences, causing the signal to manifest according to the sequence's characteristics. The implementation involves generating m-sequences using linear feedback shift registers (LFSRs) with specific primitive polynomials. The MATLAB code below demonstrates m-sequence generation where different polynomial configurations produce sequences of varying orders, with key parameters including tap positions and initial states determining correlation properties and sequence length.