基于小波分解与希尔伯特-黄变换的跳频信号检测

摘要

The existing detection algorithm of frequency hopping (FH)signals based on the time-frequency analysis cannot satisfy the time and frequency resolutions requirements at the same time due to the influence of window function.In order to solve this problem,an algorithm based on wavelet decomposition and Hilbert-Huang transform(HHT) is proposed.The proposed algorithm removes the noise of the received signals by wavelet decomposition and detect the FH signals by HHT,so as to avoid influence of window function in process of time frequency analysis.Theoretical derivation simulation results show the proposed algorithm takes into account both the time resolution and the frequency resolution.So,the accuracy of FH signals detection can be improved obviously.%现有的基于时频分析的检测方法在时间分辨率和频率分辨率上往往不能同时满足要求,针对这一问题,提出了一种结合小波分解与希尔伯特-黄变换(HHT)的跳频(FH)信号检测方法.利用小波分解去除混合信号中的噪声;利用希尔伯特-黄变换实现跳频信号的检测,避免了传统时频分析过程中窗函数的影响.理论推导和仿真实验表明:本文方法能同时有效地兼顾时间分辨率和频率分辨率,明显改善了跳频信号检测的准确性.