OFDM系统物理层关键技术研究与FPGA实现
Research on key technologies of OFDM system physical layer and FPGA implementation
李子雄 1鄢秋荣 1汪奥 1杜华 2邱国振2
作者信息
- 1. 南昌大学信息工程学院,江西 南昌 330031
- 2. 北方联创通信有限公司博士科研创新中心,江西 南昌 330096
- 折叠
摘要
为在复杂环境下实现高效抗干扰无线通信,基于IEEE802.11a协议设计了正交频分复用(OFDM)系统物理层,并利用现场可编程门阵列(FPGA)实现了 3 种OFDM系统设计中涉及到的物理层关键技术,包括基于短训练序列自相关性的分组检测算法、依据短训练序列循环特性的频偏估计算法和长训练序列特性的信道估计算法.在MATLAB上对3 种算法原理进行了仿真实验,结果表明3 种关键技术在算法上的可靠性强,在FPGA上实现的可行性强.对3 种算法进行模块化设计,编写RTL Verilog代码进行FPGA实现,在Modelsim软件上进行仿真调试,并通过Xilinx生产的Zedboard开发板上板验证了其功能及性能表现,设计了处理系统端以太网传输协议,在PC上通过网口调试助手进行数据传输,接收机正确接收到数据,证明该系统能正常进行无线数据传输.
Abstract
To achieve efficient anti-interference wireless communication in complex environments,a physical layer for an orthogonal frequency division multiplexing(OFDM)system based on the IEEE 802.11a protocol was designed.This design utilized the Field Programmable Gate Array(FPGA)to implement three key physical layer technologies involved in OFDM system design,including the grouping detection algorithm based on the autocorrelation of short training sequences,the frequency offset estimation algorithm based on the cyclic characteristics of short training sequences,and the channel estimation algorithm using the characteristics of long training sequences.Simulation experiments on the three algorithm principles were conducted on MATLAB.The results showed that the three key technologies have strong algorithm reliability and strong feasibility of implementation on FPGA.By carrying out the modular design of three algorithms,writing RTL Verilog code for FPGA implementation,conducting simulation and debugging on Modelsim software,and verifying its functions and performance through the Zedboard development board produced by Xilinx,designing an Ethernet transmission protocol for the processing system terminal,transmitting the data through the debugging assistant of the network port on PC,the receiver received the data correctly,which proved that the system can carry out wireless data transmission normally.
关键词
无线通信/正交频分复用/分组检测/频偏估计/信道估计与均衡Key words
wireless communication/orthogonal frequency division multiplexing/packet detection/frequency offset estimation/channel estimation and equalization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据