"基于MATLAB的扩频通信系统仿真"
31 浏览量
更新于2023-11-22
2
收藏 766KB DOC 举报
xperimental results and the design of each module were discussed. Issues to be aware of in simulation modeling were also pointed out. Under the given simulation conditions, the simulation program was run and the expected results were obtained. Furthermore, the relationship between spread spectrum gain and output signal-to-noise ratio was investigated using the established simulation system. The results showed that increasing the spread spectrum gain can improve the system's output signal-to-noise ratio under the same bit error rate, thereby enhancing the system's anti-interference capability.
Keywords: spread spectrum communication, signal-to-noise ratio, bit error rate
Huanghe University of Science and Technology Graduation Thesis
Title: Simulation of the Spread Spectrum Communication System Based on MATLAB
Author: Guo Jian
Advisor: Tang Hailing
Abstract
This thesis elucidates the theoretical foundation and implementation methods of spread spectrum communication technology. A simulation model of the spread spectrum communication system was constructed using SIMULINK, a visualization tool provided by MATLAB. The design of each module was detailed, and important considerations in simulation modeling were highlighted. Running the simulation program under the given conditions yielded the expected results. Additionally, the relationship between spread spectrum gain and output signal-to-noise ratio was studied using the established simulation system. The findings indicate that increasing the spread spectrum gain can enhance the system's output signal-to-noise ratio, thereby improving its anti-interference capability, while maintaining the same bit error rate.
Keywords: spread spectrum communication, signal-to-noise ratio, bit error rate
点击了解资源详情
点击了解资源详情
点击了解资源详情
2023-07-02 上传
2021-09-18 上传
2023-07-05 上传
2021-09-16 上传
2022-10-19 上传
Mmnnnbb123
- 粉丝: 752
- 资源: 8万+
最新资源
- Angular实现MarcHayek简历展示应用教程
- Crossbow Spot最新更新 - 获取Chrome扩展新闻
- 量子管道网络优化与Python实现
- Debian系统中APT缓存维护工具的使用方法与实践
- Python模块AccessControl的Windows64位安装文件介绍
- 掌握最新*** Fisher资讯,使用Google Chrome扩展
- Ember应用程序开发流程与环境配置指南
- EZPCOpenSDK_v5.1.2_build***版本更新详情
- Postcode-Finder:利用JavaScript和Google Geocode API实现
- AWS商业交易监控器:航线行为分析与营销策略制定
- AccessControl-4.0b6压缩包详细使用教程
- Python编程实践与技巧汇总
- 使用Sikuli和Python打造颜色求解器项目
- .Net基础视频教程:掌握GDI绘图技术
- 深入理解数据结构与JavaScript实践项目
- 双子座在线裁判系统:提高编程竞赛效率