中文摘要：

目前国内罗兰C接收机主要采用模拟滤波方法。去噪效果较差；而传统数字处理方法难以实现复杂环境下的信号接收。为达到有效去噪的目的，利用高阶谱、短时傅里叶变换以及Wigner—Vill分布等现代信号处理方法对罗兰C信号进行处理。仿真分析结果表明，三种方法的去噪效果都优于传统的傅氏变换法，且双谱估计能够有效地去除色噪声的影响，对于小信噪比条件下的罗兰C信号的提取和恢复具有重要意义，也为复杂环境下对罗兰C信号的数字处理奠定了良好的基础。

英文摘要：

At present, the analog filtering method for Loran-C is mostly used, but it does denoise capability is not very satisfactory, and with traditional digital processing methods, the signals can＇t be received in complicated environment. So, in order to denoise effectively, modern signal processing methods such as high-order spectrum, short time Fourier transform and Wigner-Vill distribution were used for processing Loran-C signal. The simulation results show that the denoising effects of the three methods are all superior to that of Fourier transform, and the influence of colored noise can be eliminated effectively by hispectrum methods. That is very important for reconstructing Loran-C signal under the condition of small signal-to-noise ratio, and also lays the foundation for digital Loran-C signal processing.