摘要
针对低信噪比环境下的天气雷达回波弱信号提取问题,提出一种基于小波分析的弱信号提取算法。利用dbN小波函数对雷达回波进行小波域处理并重构信号,提取雷达回波信号的联合时频特征,并且使用FIR滤波方法和小波分析两种算法对数据去噪,得到两种算法在不同信噪比下的信噪比输出以及信噪比改善,证明在低信噪比环境下,小波分析算法的有效性和优越性。
In view of the difficulties in weak weather radar echo signals extraction under the low signal-to-noise ratio environment, an algorithm for weak signals extraction based on wavelet analysis is presented. The joint time-frequen- cy characteristics of radar echo signals can be extracted via the wavelet function of dbN. And then the data are simu- lated by FIR filter and wavelet algorithm to get the signal-to-noise ratio output and enhancement. Simulation results indicate the effectiveness and superiority of wavelet analysis under low signal-to-noise ratio environment.
出处
《成都信息工程学院学报》
2012年第6期574-579,共6页
Journal of Chengdu University of Information Technology
关键词
气象雷达
信号处理
小波分析
阈值去噪
weather radar
signal processing
wavelet analysis
threshold denoising
