计算机应用 ›› 2012, Vol. 32 ›› Issue (07): 1820-1822.DOI: 10.3724/SP.J.1087.2012.01820

• 网络与通信 • 上一篇    下一篇

基于多带正交频分复用的超宽带信号压缩传感

王高滨,马社祥   

  1. 天津市薄膜电子与通信器件重点实验室(天津理工大学),天津300384
  • 收稿日期:2012-01-03 修回日期:2012-02-23 发布日期:2012-07-05 出版日期:2012-07-01
  • 通讯作者: 王高滨
  • 作者简介:王高滨(1985-),男,山东滨州人,硕士研究生,主要研究方向:超宽带通信;马社祥(1962-),男,甘肃庆阳人,副教授,博士,主要研究方向:通信信号处理、图像处理。
  • 基金资助:

    福建高校产学合作科技重大项目(2010H6007)

Compressive sensing for ultra-wideband signals based on multi-band orthogonal frequency division multiplexing

WANG Gao-bin,MA She-xiang   

  1. Tianjin Key Laboratory of Film Electronic and Communication Devices (Tianjin University of Technology), Tianjin 300384, China
  • Received:2012-01-03 Revised:2012-02-23 Online:2012-07-05 Published:2012-07-01
  • Contact: WANG Gao-bin

摘要: 针对超宽带(UWB)信号在采样率过高时难以采样的问题,提出了改进的并行分段式压缩传感(MPSCS)方法,并且在多带正交频分复用超宽带通信系统中,利用MPSCS中基于正交匹配追踪(OMP)的重构算法进行了压缩采样与信号重构。在CM1信道下,通过仿真分析比较了MPSCS方法和并行分段式压缩传感(PSCS)方法、奈奎斯特方法的误码率、采样率性能。仿真结果显示,MPSCS在误码率、采样率方面有很大优势,而且在采样率仅为奈奎斯特速率6.06%的情况下,MPSCS能精确重构超宽带信号。

关键词: 超宽带, 压缩传感, 多带正交频分复用, 误码率, 信号重构

Abstract: To resolve the problem of excessively high sampling rate of the Ultra-WideBand (UWB) signals, the authors proposed a Modified Parallel Segmented Compressive Sensing (MPSCS) method. In UWB communication system based on Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM), this paper employed reconstruction algorithm based on Orthogonal Matching Pursuit (OMP) of MPSCS for compressive sampling and signal reconstruction. To compare the Bit Error Rate (BER) performance and sampling rate of MPSCS with Parallel Segmented Compressive Sensing (PSCS) and Nyquist method, simulation had been done in CM1 channel. The simulation results demonstrate that MPSCS has the advantages in BER, sampling rate and UWB signal can be accurately reconstructed by using MPSCS when the sampling rate is only 6.06% of Nyquist rate.

Key words: Ultra-wideband (UWB), compressive sensing, Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM), Bit Error Rate (BER), signal reconstruction

中图分类号: