基于离散小波变换的超宽带信号检测

The UWB Signal Detection Based on DWT

在超宽带通信系统中,满足FCC频谱功率限制的信号的功率谱密度极低,类似白噪声,这对非合作侦收方而言,加大了其对信号的检测难度。针对这一问题,本文提出一种基于离散小波变换的检测方法。首先对仿真出来的OFDM-UWB信号在噪声干扰条件下进行小波变换与傅里叶变换,然后在不同的信噪比条件下对信号的两种变换进行对比仿真。仿真结果表明:在信噪比很低的情况下,小波变换相比于傅里叶变换而言,具有很好的信号检测特性。

The power spectral density of the signal which meets Federal Communications Commission（FCC） spectral mask is very low in Ultra-Wideband（UWB） wireless communication,similar to the white noise.It will increase the difficulty of the detection receiver of non-cooperation to detect the signal.Aimed at the problem,a detection method based on discrete wavelet transform（DWT） is proposed.The simulated OFDM-UWB signal are carried on DWT and Fourier transformation（FT） under the jamming condition,and then the simulation of the two kinds of transformations is compared in the different SNR condition.Simulation results show that DWT has better signal detection characteristic than FT in the case of very low SNR.