改进的最优小波基选取方法与跳频信号检测研究

Research on Improved Optimal Wavelet Base Selection Method and Frequency Hopping Signal Detection

跳频通信因其良好的抗干扰性和低截获性,在军事通信中备受青睐。因其在军事通信中的重要作用,研究跳频信号的检测方法显得尤为紧迫。基于小波分解与希尔伯特-黄变换的跳频信号检测方法,有效地解决了跳频信号检测过程中时间分辨率和频率分辨率不能同时兼顾的问题,提高了跳频信号检测的精度。在此基础上对最优去噪小波基的选取问题进行了深入研究。通过改进信噪比与信噪比增益这个小波去噪质量评价指标,提出了改进的最优小波基选取方法,有效地解决了非合作通信中信号真值未知情况下最优小波基的选取问题。同时利用这一方法成功实现了跳频信号的检测,为检测跳频信号提供了新思路。

Frequency hopping communication is popular in military communication due to its good anti-jamming and low interception. Because of its important role in military communication,it is urgent to study the detection methods of frequency-hopping signals. The new algorithm W-H solves the problem that the time-frequency analysis cannot take the time resolution and frequency resolution into account at the same time effectively,and it has been proved to improve the detection precision. In this paper,the selection of the optimal de-noising wavelet base is studied based on W-H. By means of SNR and SNR gain,a new algorithm was proposed to select the optimal de-noising wavelet base when the original signal is unknown in non-cooperative communication. Meanwhile,the detection of the frequency hopping signal is realized successfully by the algorithm,it provides a new way for frequency hopping signal detection.