基于多带正交频分复用的超宽带信号压缩传感

摘要

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 rale.%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.